Explore exciting Machine Learning Engineer opportunities. These roles involve developing 13 Machine Learning Engineer jobs in Egypt
Machine Learning Engineer
WalletHub
Posted today
Job Viewed
Job Description
WalletHub, the #1 Personal Finance App in the US and one of Forbes Top 100 Best StartUp Employers for both 2020 and 2021, is rapidly growing and looking for a highly experienced and motivated **Senior Machine Learning Engineer** for a full-time, permanent position.
**Qualifications**
- At least 4 years experience in Python and MySQL (or any relational database)
- Min. 2 years of experience as a Data Scientist
- Experience with databases
- Experience in machine learning frameworks and libraries
- Machine learning concepts and techniques: Regularization, Boosting, Random Forests, Decision Trees, Bayesian models, Neural networks, Support Vector Machines (SVM)
- Experience with the whole ETL data cycle (extract, validate, transform, clean, aggregate, audit, archive)
- Computer Science or Mathematics or Physics degree
- Excellent communication and analytical skills
- Willingness to work hard (50 hrs per week)
- Very good English
**Nice to have but not required**
- Experience with Apache Spark
- Natural Language Processing (tokenization, tagging, sentiment analysis, entity recognition, summarization)
**Responsibilities**
- Modeling complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques
- Participating in the areas of architecture, design, implementation, and testing
- Proposing innovative ways to look at problems by using data mining approaches on the set of information available
- Designing experiments, testing hypotheses, and building models
- Conducting advanced data analysis and designing highly complex algorithm
**Compensation**
- Very competitive salary based on prior experience and qualifications
- Potential for stock options after the first year
- 100% remote position
- Raise and advancement opportunities based on periodic evaluations
- Visa sponsorship (after 18 months with the company, based on performance, in case you will be working from outside the US).
**Notes**
Expected work schedule is 50 hours/week, Monday to Friday. This position requires a full overlap with EST business hours (8AM - 7PM ET, including 1 hr break).
**More about WalletHub**
WalletHub, the #1 Personal Finance App in the US and one of Forbes’ Top 100 Best StartUp Employers for both 2020 and 2021, is seeking hardworking, like-minded individuals to help us disrupt personal finance and make a tangible difference in people's everyday lives.
More specifically, we are harnessing the power of data analytics and artificial intelligence to build the brain of a smart financial advisor, whose services we’re offering to everyone for free. The WalletHub brain enables users to make better financial decisions in a fraction of the time with three unique features:
**1) Customized Credit-Improvement Tips**: WalletHub identifies improvement opportunities and guides you through the necessary corrections.
**2) Personalized Money-Saving Advice**: WalletHub’s savings brain constantly scours the market for load-lightening opportunities, bringing you only the best deals.
**3) Wallet Surveillance**: Personal finance isn’t as scary with 24/7 credit monitoring providing backup, notifying you of important credit-report changes.
WalletHub’s initial focus was in the credit card space, and we quickly became the go-to credit card resource for consumers and industry professionals alike. Not only did the nonprofit group Consumer Action rate WalletHub as the best credit card website, but our industry research and expert opinions are featured in the national media far more often than any other company in the space.
In addition to the valuable intelligence the brain provides, WalletHub is the first service to offer free credit scores and full credit reports that are updated on a daily basis absent of user interaction, rather than weekly or monthly and only when a user logs in. Some other services hang their hats on free credit scores and reports, yet they’re still inferior to what WalletHub considers minor pieces to a much larger puzzle.
Pay: E£92,697.54 - E£185,395.07 per month
**Qualifications**
- At least 4 years experience in Python and MySQL (or any relational database)
- Min. 2 years of experience as a Data Scientist
- Experience with databases
- Experience in machine learning frameworks and libraries
- Machine learning concepts and techniques: Regularization, Boosting, Random Forests, Decision Trees, Bayesian models, Neural networks, Support Vector Machines (SVM)
- Experience with the whole ETL data cycle (extract, validate, transform, clean, aggregate, audit, archive)
- Computer Science or Mathematics or Physics degree
- Excellent communication and analytical skills
- Willingness to work hard (50 hrs per week)
- Very good English
**Nice to have but not required**
- Experience with Apache Spark
- Natural Language Processing (tokenization, tagging, sentiment analysis, entity recognition, summarization)
**Responsibilities**
- Modeling complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques
- Participating in the areas of architecture, design, implementation, and testing
- Proposing innovative ways to look at problems by using data mining approaches on the set of information available
- Designing experiments, testing hypotheses, and building models
- Conducting advanced data analysis and designing highly complex algorithm
**Compensation**
- Very competitive salary based on prior experience and qualifications
- Potential for stock options after the first year
- 100% remote position
- Raise and advancement opportunities based on periodic evaluations
- Visa sponsorship (after 18 months with the company, based on performance, in case you will be working from outside the US).
**Notes**
Expected work schedule is 50 hours/week, Monday to Friday. This position requires a full overlap with EST business hours (8AM - 7PM ET, including 1 hr break).
**More about WalletHub**
WalletHub, the #1 Personal Finance App in the US and one of Forbes’ Top 100 Best StartUp Employers for both 2020 and 2021, is seeking hardworking, like-minded individuals to help us disrupt personal finance and make a tangible difference in people's everyday lives.
More specifically, we are harnessing the power of data analytics and artificial intelligence to build the brain of a smart financial advisor, whose services we’re offering to everyone for free. The WalletHub brain enables users to make better financial decisions in a fraction of the time with three unique features:
**1) Customized Credit-Improvement Tips**: WalletHub identifies improvement opportunities and guides you through the necessary corrections.
**2) Personalized Money-Saving Advice**: WalletHub’s savings brain constantly scours the market for load-lightening opportunities, bringing you only the best deals.
**3) Wallet Surveillance**: Personal finance isn’t as scary with 24/7 credit monitoring providing backup, notifying you of important credit-report changes.
WalletHub’s initial focus was in the credit card space, and we quickly became the go-to credit card resource for consumers and industry professionals alike. Not only did the nonprofit group Consumer Action rate WalletHub as the best credit card website, but our industry research and expert opinions are featured in the national media far more often than any other company in the space.
In addition to the valuable intelligence the brain provides, WalletHub is the first service to offer free credit scores and full credit reports that are updated on a daily basis absent of user interaction, rather than weekly or monthly and only when a user logs in. Some other services hang their hats on free credit scores and reports, yet they’re still inferior to what WalletHub considers minor pieces to a much larger puzzle.
Pay: E£92,697.54 - E£185,395.07 per month
This advertiser has chosen not to accept applicants from your region.
0
Senior Machine Learning Engineer
Unifonic
Posted today
Job Viewed
Job Description
Unifonic is a customer engagement platform that enables organizations to delight customers with remarkable omnichannel experiences. By unifying communication channels, messaging apps, and chatbots, Unifonic streamlines conversations at every touchpoint throughout the customer journey.
**Engineering principle**: We ship robust, high-quality code, written for humans to read and maintain!
The Engineering team at Unifonic is looking for a proactive and dynamic Senior Machine Learning Engineer, to join our diverse team of developers. In this role, you’ll be responsible for delivering ML models to serve use cases like NLP, speech tagging and recognition, text classification, Named Entity Recognition, and semantic extraction.
- Ability to fully understand technical requirements, challenge them and produce the most appropriate implementation.
- Discuss with product managers about product features.
- Design and implement ML pipelines from ideation to production
- Analyze, process, and interpret data.
- Build and train ML models along with tools to update/retrain those models which become a part of customer-facing products.
- Work with other software developers to guarantee Models implementation in production
- Be a role model in agile practices.
- Produce technical documentation for encountered problems and maintain team technical decisions.
**Requirements**:
**Must-Have**
- Bachelor’s degree in a relevant field. (e.g. Computer Science, Computer Engineering, Softwareetc)
- Hands-on 5-7 years of relevant work experience in shipping ML models for NLP, CV, classifiers, and recommenders for large-scale customer-facing projects.
- Experienced in Python with experience in common data science toolkits, such as NumPy, Pandas, PySpark, Scikit-Learn, Tensorflow, PyTorch, Keras, rasa, BERT, spaCy.
- Hands-on experience in NLP is mandatory; e.g. Text representation (n-grams, a bag of words, TF-IDF, etc), feature extraction, part of speech tagging and recognition, text classification, Named Entity Recognition (NER), semantic extraction techniques, Machine Translation, slot filling, Sentiment analysis, etc.
- Familiarity with MLOps best practices, e.g. Model deployment and reproducible research
- Mastering data science needed skills like SQL, hypothesis testing, Data cleansing, data augmentation, data pre-processing techniques, dimensionality reduction, mathematics, probability, and statistics (e.g. conditional probability, likelihood, Bayes rule, and Bayes nets, Hidden Markov Models, etc.).
- Excellent understanding of Machine learning techniques like Naive Bayes classifiers, SVM, Decision Tree, KNN, K-means, Random Forest, modeling and optimization, evaluation metrics, classification, and clustering.
- Familiar with code versioning tools such as GIT, CI/CD concepts, and toolchains.
- Acquainted with agile methodologies like Scrum, and agile tools like Jira.
**Nice to have**
- Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
- Good knowledge of Deep Learning needed skills like Neural network architectures, fully connected networks, CNNs, LSTMs, and RNNs.
- Worked on other ML use cases like:
- Speech Recognition algorithms.
- Recommender Engines.
- Anomaly detection.
- Computer Vision (Face Recognition, OCR,)
**Engineering principle**: We ship robust, high-quality code, written for humans to read and maintain!
The Engineering team at Unifonic is looking for a proactive and dynamic Senior Machine Learning Engineer, to join our diverse team of developers. In this role, you’ll be responsible for delivering ML models to serve use cases like NLP, speech tagging and recognition, text classification, Named Entity Recognition, and semantic extraction.
- Ability to fully understand technical requirements, challenge them and produce the most appropriate implementation.
- Discuss with product managers about product features.
- Design and implement ML pipelines from ideation to production
- Analyze, process, and interpret data.
- Build and train ML models along with tools to update/retrain those models which become a part of customer-facing products.
- Work with other software developers to guarantee Models implementation in production
- Be a role model in agile practices.
- Produce technical documentation for encountered problems and maintain team technical decisions.
**Requirements**:
**Must-Have**
- Bachelor’s degree in a relevant field. (e.g. Computer Science, Computer Engineering, Softwareetc)
- Hands-on 5-7 years of relevant work experience in shipping ML models for NLP, CV, classifiers, and recommenders for large-scale customer-facing projects.
- Experienced in Python with experience in common data science toolkits, such as NumPy, Pandas, PySpark, Scikit-Learn, Tensorflow, PyTorch, Keras, rasa, BERT, spaCy.
- Hands-on experience in NLP is mandatory; e.g. Text representation (n-grams, a bag of words, TF-IDF, etc), feature extraction, part of speech tagging and recognition, text classification, Named Entity Recognition (NER), semantic extraction techniques, Machine Translation, slot filling, Sentiment analysis, etc.
- Familiarity with MLOps best practices, e.g. Model deployment and reproducible research
- Mastering data science needed skills like SQL, hypothesis testing, Data cleansing, data augmentation, data pre-processing techniques, dimensionality reduction, mathematics, probability, and statistics (e.g. conditional probability, likelihood, Bayes rule, and Bayes nets, Hidden Markov Models, etc.).
- Excellent understanding of Machine learning techniques like Naive Bayes classifiers, SVM, Decision Tree, KNN, K-means, Random Forest, modeling and optimization, evaluation metrics, classification, and clustering.
- Familiar with code versioning tools such as GIT, CI/CD concepts, and toolchains.
- Acquainted with agile methodologies like Scrum, and agile tools like Jira.
**Nice to have**
- Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
- Good knowledge of Deep Learning needed skills like Neural network architectures, fully connected networks, CNNs, LSTMs, and RNNs.
- Worked on other ML use cases like:
- Speech Recognition algorithms.
- Recommender Engines.
- Anomaly detection.
- Computer Vision (Face Recognition, OCR,)
This advertiser has chosen not to accept applicants from your region.
1
Data Scientist / Senior Machine Learning Engineer
Arrow Electronics
Posted 10 days ago
Job Viewed
Job Description
**Position:**
Data Scientist / Senior Machine Learning Engineer
**Job Description:**
**Position Overview:**
As Data Scientist / Senior Machine Learning Engineer at Arrow Electronics, you will assume a pivotal role in driving our data science and machine learning initiatives to reach unprecedented heights. Collaborating closely with cross-functional multinational teams, your responsibilities will encompass the end-to-end machine learning lifecycle, including stakeholder communications, data analysis, designing, development, deployment, and optimization of cutting-edge models aimed at addressing intricate challenges and generating actionable insights. Your expertise in data analysis, model development, and deployment will be crucial in shaping the future of our company.
**Key Responsibilities:**
1. Machine Learning Model Development: Design, develop, and implement advanced machine learning models and algorithms to solve real-world problems in various domains.
2. Data Analysis: Explore and analyze large datasets to extract meaningful insights and identify trends, anomalies, and patterns.
3. Model Evaluation: Evaluate the performance of machine learning models using appropriate metrics and fine-tune models for optimal results.
4. Deployment: Lead the deployment of machine learning models into production environments and ensure scalability and efficiency.
5. Cross-functional Collaboration: Collaborate closely with business stakeholders, software engineers, data engineers, and domain experts to integrate machine learning solutions into our products and services.
6. Mentorship: Provide guidance and mentorship to junior data scientists and machine learning engineers, fostering a culture of continuous learning and growth.
7. Research and Innovation: Stay up-to-date with the latest advancements in the field of data science and machine learning and apply innovative techniques to solve complex challenges.
**Qualifications:**
+ Proven experience (2 to 5 years) in developing and deploying machine learning models in a production environment.
+ Proficiency in programming languages, especially Python, and experience with data-related libraries such as pandas, matplotlib, NumPy, etc.
+ Strong knowledge of machine learning frameworks and libraries.
+ Expertise in data preprocessing, feature engineering, and model selection.
+ Familiarity with large language models and AI agent design.
+ Experience with text-based NLP, information extraction, entity recognition, and text-related data science tasks is highly desirable.
+ Strong communication skills and the ability to convey technical concepts to non-technical stakeholders.
+ Experience with vectorized databases and unstructured search engines is a plus.
+ A Master's degree in computer science, Statistics, Data Science, or a related field is a plus.
+ Publications or contributions to open-source projects are a plus.
If you are a passionate and experienced Data Scientist / Senior Machine Learning Engineer who thrives on solving challenging problems and wants to make a significant impact in the field, we encourage you to apply and join our dynamic team at Arrow Electronics Together, we will drive innovation and shape the future of data science and machine learning.
**Location:**
EG-Cairo, Egypt (Al Emdad & Al Tamween)
**Time Type:**
Full time
**Job Category:**
Information Technology
Arrow Electronics, Inc.'s policy is to provide equal employment opportunities to all qualified employees and applicants without regard to race, color, religion, age, sex, marital status, gender identity or expression, sexual orientation, national origin, disability, citizenship, veran status, genetic information, or any other characteristics protected by applicable state, federal or local laws. Our policy of equal employment opportunity and affirmative action applies to all employment decisions personnel policies and practices, or programs.
Data Scientist / Senior Machine Learning Engineer
**Job Description:**
**Position Overview:**
As Data Scientist / Senior Machine Learning Engineer at Arrow Electronics, you will assume a pivotal role in driving our data science and machine learning initiatives to reach unprecedented heights. Collaborating closely with cross-functional multinational teams, your responsibilities will encompass the end-to-end machine learning lifecycle, including stakeholder communications, data analysis, designing, development, deployment, and optimization of cutting-edge models aimed at addressing intricate challenges and generating actionable insights. Your expertise in data analysis, model development, and deployment will be crucial in shaping the future of our company.
**Key Responsibilities:**
1. Machine Learning Model Development: Design, develop, and implement advanced machine learning models and algorithms to solve real-world problems in various domains.
2. Data Analysis: Explore and analyze large datasets to extract meaningful insights and identify trends, anomalies, and patterns.
3. Model Evaluation: Evaluate the performance of machine learning models using appropriate metrics and fine-tune models for optimal results.
4. Deployment: Lead the deployment of machine learning models into production environments and ensure scalability and efficiency.
5. Cross-functional Collaboration: Collaborate closely with business stakeholders, software engineers, data engineers, and domain experts to integrate machine learning solutions into our products and services.
6. Mentorship: Provide guidance and mentorship to junior data scientists and machine learning engineers, fostering a culture of continuous learning and growth.
7. Research and Innovation: Stay up-to-date with the latest advancements in the field of data science and machine learning and apply innovative techniques to solve complex challenges.
**Qualifications:**
+ Proven experience (2 to 5 years) in developing and deploying machine learning models in a production environment.
+ Proficiency in programming languages, especially Python, and experience with data-related libraries such as pandas, matplotlib, NumPy, etc.
+ Strong knowledge of machine learning frameworks and libraries.
+ Expertise in data preprocessing, feature engineering, and model selection.
+ Familiarity with large language models and AI agent design.
+ Experience with text-based NLP, information extraction, entity recognition, and text-related data science tasks is highly desirable.
+ Strong communication skills and the ability to convey technical concepts to non-technical stakeholders.
+ Experience with vectorized databases and unstructured search engines is a plus.
+ A Master's degree in computer science, Statistics, Data Science, or a related field is a plus.
+ Publications or contributions to open-source projects are a plus.
If you are a passionate and experienced Data Scientist / Senior Machine Learning Engineer who thrives on solving challenging problems and wants to make a significant impact in the field, we encourage you to apply and join our dynamic team at Arrow Electronics Together, we will drive innovation and shape the future of data science and machine learning.
**Location:**
EG-Cairo, Egypt (Al Emdad & Al Tamween)
**Time Type:**
Full time
**Job Category:**
Information Technology
Arrow Electronics, Inc.'s policy is to provide equal employment opportunities to all qualified employees and applicants without regard to race, color, religion, age, sex, marital status, gender identity or expression, sexual orientation, national origin, disability, citizenship, veran status, genetic information, or any other characteristics protected by applicable state, federal or local laws. Our policy of equal employment opportunity and affirmative action applies to all employment decisions personnel policies and practices, or programs.
This advertiser has chosen not to accept applicants from your region.
2
Data Scientist - Artificial Intelligence
Giza
IBM
Posted 12 days ago
Job Viewed
Job Description
**Introduction**
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.
You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.
Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
**Your role and responsibilities**
We are seeking an experienced Data Scientist. The ideal candidate will have a deep understanding of Machine Learning, Generative AI, and Large Language Models, combined with strong leadership abilities. This role will be responsible for business development, overseeing the development and implementation of advanced data-driven solutions as well as mentor a team of talented data scientists.
Technical Oversight:
* Oversee the design, development, and deployment of Machine Learning models and AI solutions.
* Ensure the use of best practices in data science, including model validation, performance monitoring, and continuous improvement.
* Stay informed about the latest developments in AI/ML and drive the adoption of relevant technologies within the team.
Team Development:
* Provide mentorship and professional development opportunities to project and practice team members.
* Actively support in recruitment efforts to attract top talent and grow the team as needed.
* Help Foster a culture of learning and continuous development within the AI/Data Science team.
**Required technical and professional expertise**
Experience:
* 7+ years of experience in Data Science and Machine Learning with at least 1 year of experience in conversational solutions design and development using Watson Assistant or similar conversational AI platforms.
* Proven track record of delivering AI/ML projects.
* Experience with Generative AI and Large Language Models is highly desirable
Technical Skills:
* Proficiency in programming languages such as Python, R, or Scala.
* Deep understanding of Machine Learning frameworks (e.g., TensorFlow, PyTorch) and data processing tools (e.g., SQL, Pandas).
* Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and machine learning deployment.
* Strong knowledge of Natural Language Processing (NLP) and AI ethics.
Leadership Skills:
* Leadership skills with the ability to inspire and motivate junior team members.
* Strategic thinking with the ability to align data science initiatives with business objectives.
* Very good communication skills, capable of conveying complex ideas to a variety of audiences.
* Proven ability to work collaboratively in projects with cross-functional teams.
* Experience in building/scaling data science teams and implementing AI solutions in a large (preferably, consulting) organization.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.
You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.
Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
**Your role and responsibilities**
We are seeking an experienced Data Scientist. The ideal candidate will have a deep understanding of Machine Learning, Generative AI, and Large Language Models, combined with strong leadership abilities. This role will be responsible for business development, overseeing the development and implementation of advanced data-driven solutions as well as mentor a team of talented data scientists.
Technical Oversight:
* Oversee the design, development, and deployment of Machine Learning models and AI solutions.
* Ensure the use of best practices in data science, including model validation, performance monitoring, and continuous improvement.
* Stay informed about the latest developments in AI/ML and drive the adoption of relevant technologies within the team.
Team Development:
* Provide mentorship and professional development opportunities to project and practice team members.
* Actively support in recruitment efforts to attract top talent and grow the team as needed.
* Help Foster a culture of learning and continuous development within the AI/Data Science team.
**Required technical and professional expertise**
Experience:
* 7+ years of experience in Data Science and Machine Learning with at least 1 year of experience in conversational solutions design and development using Watson Assistant or similar conversational AI platforms.
* Proven track record of delivering AI/ML projects.
* Experience with Generative AI and Large Language Models is highly desirable
Technical Skills:
* Proficiency in programming languages such as Python, R, or Scala.
* Deep understanding of Machine Learning frameworks (e.g., TensorFlow, PyTorch) and data processing tools (e.g., SQL, Pandas).
* Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and machine learning deployment.
* Strong knowledge of Natural Language Processing (NLP) and AI ethics.
Leadership Skills:
* Leadership skills with the ability to inspire and motivate junior team members.
* Strategic thinking with the ability to align data science initiatives with business objectives.
* Very good communication skills, capable of conveying complex ideas to a variety of audiences.
* Proven ability to work collaboratively in projects with cross-functional teams.
* Experience in building/scaling data science teams and implementing AI solutions in a large (preferably, consulting) organization.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
This advertiser has chosen not to accept applicants from your region.
3
Data Scientist - Artificial Intelligence
Giza
IBM
Posted 16 days ago
Job Viewed
Job Description
**Introduction**
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.
You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.
Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
**Your role and responsibilities**
We are seeking an experienced Data Scientist. The ideal candidate will have a deep understanding of Machine Learning, Generative AI, and Large Language Models, combined with strong leadership abilities. This role will be responsible for business development, overseeing the development and implementation of advanced data-driven solutions as well as mentor a team of talented data scientists.
Technical Oversight:
* Oversee the design, development, and deployment of Machine Learning models and AI solutions.
* Ensure the use of best practices in data science, including model validation, performance monitoring, and continuous improvement.
* Stay informed about the latest developments in AI/ML and drive the adoption of relevant technologies within the team.
Team Development:
* Provide mentorship and professional development opportunities to project and practice team members.
* Actively support in recruitment efforts to attract top talent and grow the team as needed.
* Help Foster a culture of learning and continuous development within the AI/Data Science team.
**Required technical and professional expertise**
* 7+ years of experience in Data Science and Machine Learning with at least 1 year of experience in conversational solutions design and development using Watson Assistant or similar conversational AI platforms.
* Proven track record of delivering AI/ML projects.
* Experience with Generative AI and Large Language Models is highly desirable
Technical Skills:
* Proficiency in programming languages such as Python, R, or Scala.
* Deep understanding of Machine Learning frameworks (e.g., TensorFlow, PyTorch) and data processing tools (e.g., SQL, Pandas).
* Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and machine learning deployment.
* Strong knowledge of Natural Language Processing (NLP) and AI ethics.
Leadership Skills:
* Leadership skills with the ability to inspire and motivate junior team members.
* Strategic thinking with the ability to align data science initiatives with business objectives.
* Very good communication skills, capable of conveying complex ideas to a variety of audiences.
* Proven ability to work collaboratively in projects with cross-functional teams.
* Experience in building/scaling data science teams and implementing AI solutions in a large (preferably, consulting) organization.Less
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.
You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.
Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
**Your role and responsibilities**
We are seeking an experienced Data Scientist. The ideal candidate will have a deep understanding of Machine Learning, Generative AI, and Large Language Models, combined with strong leadership abilities. This role will be responsible for business development, overseeing the development and implementation of advanced data-driven solutions as well as mentor a team of talented data scientists.
Technical Oversight:
* Oversee the design, development, and deployment of Machine Learning models and AI solutions.
* Ensure the use of best practices in data science, including model validation, performance monitoring, and continuous improvement.
* Stay informed about the latest developments in AI/ML and drive the adoption of relevant technologies within the team.
Team Development:
* Provide mentorship and professional development opportunities to project and practice team members.
* Actively support in recruitment efforts to attract top talent and grow the team as needed.
* Help Foster a culture of learning and continuous development within the AI/Data Science team.
**Required technical and professional expertise**
* 7+ years of experience in Data Science and Machine Learning with at least 1 year of experience in conversational solutions design and development using Watson Assistant or similar conversational AI platforms.
* Proven track record of delivering AI/ML projects.
* Experience with Generative AI and Large Language Models is highly desirable
Technical Skills:
* Proficiency in programming languages such as Python, R, or Scala.
* Deep understanding of Machine Learning frameworks (e.g., TensorFlow, PyTorch) and data processing tools (e.g., SQL, Pandas).
* Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and machine learning deployment.
* Strong knowledge of Natural Language Processing (NLP) and AI ethics.
Leadership Skills:
* Leadership skills with the ability to inspire and motivate junior team members.
* Strategic thinking with the ability to align data science initiatives with business objectives.
* Very good communication skills, capable of conveying complex ideas to a variety of audiences.
* Proven ability to work collaboratively in projects with cross-functional teams.
* Experience in building/scaling data science teams and implementing AI solutions in a large (preferably, consulting) organization.Less
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
This advertiser has chosen not to accept applicants from your region.
4
Data Scientist
Giza
IBM
Posted 3 days ago
Job Viewed
Job Description
**Introduction**
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.
You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.
Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
**Your role and responsibilities**
We are seeking a Data Scientist with expertise in Artificial Intelligence (AI) to join our team. In this role, you will leverage your strong data analysis skills and business acumen to address complex cognitive computing challenges. You will be responsible for developing and implementing advanced analytics solutions for both structured and unstructured data, with a specific focus on Natural Language Processing (NLP) and Machine Learning (ML) techniques. Your specialization in foundation models and large language models (LLMs) will enable you to design and deliver AI solutions using state-of-the-art technologies.
The ideal candidate will have experience with tools like GitHub Copilot and Amazon Code Whisperer, and possess a deep understanding of AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face. You should be proficient in programming with Python and familiar with essential libraries such as SciKit Learn, Pandas, and Matplotlib. Additionally, experience with cloud platforms like AWS, Azure, or GCP and container orchestration tools such as Kubernetes is essential.
You will work with a range of relational and NoSQL databases (e.g., SQL, Postgres, DB2, MongoDB) and various operating systems (Linux, Windows, iOS, Android), and collaborate with modern UI frameworks (React.js, AngularJS, etc.). Your role will span the entire AI project lifecycle, from research and prototyping to deploying AI solutions in production environments. A strong foundation in one of the following areas is required: NLP, Image Processing, Video Processing, Voice Processing, or Watson technologies.
**Required technical and professional expertise**
* At least 5 years expertise in AI, particularly in NLP, Machine Learning, and foundation models.
* Proficiency in Python and AI frameworks
* Experienced in Java Springboot
* Strong background in databases (SQL, Postgres, MongoDB) and modern UI frameworks (React.js, AngularJS).
* Full AI project lifecycle experience, from research and prototyping to production deployment.
**Preferred technical and professional experience**
Hiring manager and Recruiter should collaborate to create the relevant verbiage.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.
You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.
Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
**Your role and responsibilities**
We are seeking a Data Scientist with expertise in Artificial Intelligence (AI) to join our team. In this role, you will leverage your strong data analysis skills and business acumen to address complex cognitive computing challenges. You will be responsible for developing and implementing advanced analytics solutions for both structured and unstructured data, with a specific focus on Natural Language Processing (NLP) and Machine Learning (ML) techniques. Your specialization in foundation models and large language models (LLMs) will enable you to design and deliver AI solutions using state-of-the-art technologies.
The ideal candidate will have experience with tools like GitHub Copilot and Amazon Code Whisperer, and possess a deep understanding of AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face. You should be proficient in programming with Python and familiar with essential libraries such as SciKit Learn, Pandas, and Matplotlib. Additionally, experience with cloud platforms like AWS, Azure, or GCP and container orchestration tools such as Kubernetes is essential.
You will work with a range of relational and NoSQL databases (e.g., SQL, Postgres, DB2, MongoDB) and various operating systems (Linux, Windows, iOS, Android), and collaborate with modern UI frameworks (React.js, AngularJS, etc.). Your role will span the entire AI project lifecycle, from research and prototyping to deploying AI solutions in production environments. A strong foundation in one of the following areas is required: NLP, Image Processing, Video Processing, Voice Processing, or Watson technologies.
**Required technical and professional expertise**
* At least 5 years expertise in AI, particularly in NLP, Machine Learning, and foundation models.
* Proficiency in Python and AI frameworks
* Experienced in Java Springboot
* Strong background in databases (SQL, Postgres, MongoDB) and modern UI frameworks (React.js, AngularJS).
* Full AI project lifecycle experience, from research and prototyping to production deployment.
**Preferred technical and professional experience**
Hiring manager and Recruiter should collaborate to create the relevant verbiage.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
This advertiser has chosen not to accept applicants from your region.
5
Data Scientist
Giza
IBM
Posted 4 days ago
Job Viewed
Job Description
**Introduction**
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.
You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.
Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
**Your role and responsibilities**
We are seeking a Data Scientist with expertise in Artificial Intelligence (AI) to join our team. In this role, you will leverage your strong data analysis skills and business acumen to address complex cognitive computing challenges. You will be responsible for developing and implementing advanced analytics solutions for both structured and unstructured data, with a specific focus on Natural Language Processing (NLP) and Machine Learning (ML) techniques. Your specialization in foundation models and large language models (LLMs) will enable you to design and deliver AI solutions using state-of-the-art technologies.
The ideal candidate will have experience with tools like GitHub Copilot and Amazon Code Whisperer, and possess a deep understanding of AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face. You should be proficient in programming with Python and familiar with essential libraries such as SciKit Learn, Pandas, and Matplotlib. Additionally, experience with cloud platforms like AWS, Azure, or GCP and container orchestration tools such as Kubernetes is essential.
You will work with a range of relational and NoSQL databases (e.g., SQL, Postgres, DB2, MongoDB) and various operating systems (Linux, Windows, iOS, Android), and collaborate with modern UI frameworks (React.js, AngularJS, etc.). Your role will span the entire AI project lifecycle, from research and prototyping to deploying AI solutions in production environments. A strong foundation in one of the following areas is required: NLP, Image Processing, Video Processing, Voice Processing, or Watson technologies.
**Required technical and professional expertise**
* At least 5 years expertise in AI, particularly in NLP, Machine Learning, and foundation models.
* Proficiency in Python and AI frameworks
* Experienced in Java Springboot
* Strong background in databases (SQL, Postgres, MongoDB) and modern UI frameworks (React.js, AngularJS).
* Full AI project lifecycle experience, from research and prototyping to production deployment.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.
You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.
Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
**Your role and responsibilities**
We are seeking a Data Scientist with expertise in Artificial Intelligence (AI) to join our team. In this role, you will leverage your strong data analysis skills and business acumen to address complex cognitive computing challenges. You will be responsible for developing and implementing advanced analytics solutions for both structured and unstructured data, with a specific focus on Natural Language Processing (NLP) and Machine Learning (ML) techniques. Your specialization in foundation models and large language models (LLMs) will enable you to design and deliver AI solutions using state-of-the-art technologies.
The ideal candidate will have experience with tools like GitHub Copilot and Amazon Code Whisperer, and possess a deep understanding of AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face. You should be proficient in programming with Python and familiar with essential libraries such as SciKit Learn, Pandas, and Matplotlib. Additionally, experience with cloud platforms like AWS, Azure, or GCP and container orchestration tools such as Kubernetes is essential.
You will work with a range of relational and NoSQL databases (e.g., SQL, Postgres, DB2, MongoDB) and various operating systems (Linux, Windows, iOS, Android), and collaborate with modern UI frameworks (React.js, AngularJS, etc.). Your role will span the entire AI project lifecycle, from research and prototyping to deploying AI solutions in production environments. A strong foundation in one of the following areas is required: NLP, Image Processing, Video Processing, Voice Processing, or Watson technologies.
**Required technical and professional expertise**
* At least 5 years expertise in AI, particularly in NLP, Machine Learning, and foundation models.
* Proficiency in Python and AI frameworks
* Experienced in Java Springboot
* Strong background in databases (SQL, Postgres, MongoDB) and modern UI frameworks (React.js, AngularJS).
* Full AI project lifecycle experience, from research and prototyping to production deployment.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
This advertiser has chosen not to accept applicants from your region.
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6
Data Scientist
Giza
IBM
Posted 4 days ago
Job Viewed
Job Description
**Introduction**
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.
You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.
Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
**Your role and responsibilities**
We are seeking a Data Scientist with expertise in Artificial Intelligence (AI) to join our team. In this role, you will leverage your strong data analysis skills and business acumen to address complex cognitive computing challenges. You will be responsible for developing and implementing advanced analytics solutions for both structured and unstructured data, with a specific focus on Natural Language Processing (NLP) and Machine Learning (ML) techniques. Your specialization in foundation models and large language models (LLMs) will enable you to design and deliver AI solutions using state-of-the-art technologies.
The ideal candidate will have experience with tools like GitHub Copilot and Amazon Code Whisperer, and possess a deep understanding of AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face. You should be proficient in programming with Python and familiar with essential libraries such as SciKit Learn, Pandas, and Matplotlib. Additionally, experience with cloud platforms like AWS, Azure, or GCP and container orchestration tools such as Kubernetes is essential.
You will work with a range of relational and NoSQL databases (e.g., SQL, Postgres, DB2, MongoDB) and various operating systems (Linux, Windows, iOS, Android), and collaborate with modern UI frameworks (React.js, AngularJS, etc.). Your role will span the entire AI project lifecycle, from research and prototyping to deploying AI solutions in production environments. A strong foundation in one of the following areas is required: NLP, Image Processing, Video Processing, Voice Processing, or Watson technologies.
**Required technical and professional expertise**
* At least 5 years expertise in AI, particularly in NLP, Machine Learning, and foundation models.
* Proficiency in Python and AI frameworks
* Experienced in Java Springboot
* Strong background in databases (SQL, Postgres, MongoDB) and modern UI frameworks (React.js, AngularJS).
* Full AI project lifecycle experience, from research and prototyping to production deployment.
**Preferred technical and professional experience**
Hiring manager and Recruiter should collaborate to create the relevant verbiage.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.
You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.
Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
**Your role and responsibilities**
We are seeking a Data Scientist with expertise in Artificial Intelligence (AI) to join our team. In this role, you will leverage your strong data analysis skills and business acumen to address complex cognitive computing challenges. You will be responsible for developing and implementing advanced analytics solutions for both structured and unstructured data, with a specific focus on Natural Language Processing (NLP) and Machine Learning (ML) techniques. Your specialization in foundation models and large language models (LLMs) will enable you to design and deliver AI solutions using state-of-the-art technologies.
The ideal candidate will have experience with tools like GitHub Copilot and Amazon Code Whisperer, and possess a deep understanding of AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face. You should be proficient in programming with Python and familiar with essential libraries such as SciKit Learn, Pandas, and Matplotlib. Additionally, experience with cloud platforms like AWS, Azure, or GCP and container orchestration tools such as Kubernetes is essential.
You will work with a range of relational and NoSQL databases (e.g., SQL, Postgres, DB2, MongoDB) and various operating systems (Linux, Windows, iOS, Android), and collaborate with modern UI frameworks (React.js, AngularJS, etc.). Your role will span the entire AI project lifecycle, from research and prototyping to deploying AI solutions in production environments. A strong foundation in one of the following areas is required: NLP, Image Processing, Video Processing, Voice Processing, or Watson technologies.
**Required technical and professional expertise**
* At least 5 years expertise in AI, particularly in NLP, Machine Learning, and foundation models.
* Proficiency in Python and AI frameworks
* Experienced in Java Springboot
* Strong background in databases (SQL, Postgres, MongoDB) and modern UI frameworks (React.js, AngularJS).
* Full AI project lifecycle experience, from research and prototyping to production deployment.
**Preferred technical and professional experience**
Hiring manager and Recruiter should collaborate to create the relevant verbiage.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
This advertiser has chosen not to accept applicants from your region.
7
Data Scientist
FlapKap
Posted today
Job Viewed
Job Description
**What is FlapKap?**
We are the financial growth partner for the digitally-native businesses in the Middle East and Africa. We support online businesses to overcome their cash constraints by financing their working capital and we ensure their growth without losing equity. We also give them insights on their media spend to maximize their revenues and profits.
**Why FlapKap?**
FlapKap is fast, smart, collaborative and first a kind startup that aims to disrupt the financial industry in MEA FlapKap is backed by QED, A15, Outliers, and Nclude with a total financing of $3.6m USD. FlapKap is a safe environment with a welcoming atmosphere to creativity and innovation FlapKap is dynamic and progressive. Everyday there are new challenges and significant achievements that make everyone charged, excited and proud to belong.
**What is this role?**
We are looking for a talented and experienced Data Scientist to join our team at FlapKap. As a Data Scientist, you will be responsible for developing and implementing data-driven solutions to optimize our business operations, improve customer experience, and drive overall growth.
**What will you do?**
- Use statistical analysis and machine learning techniques to analyze large datasets and extract insights
- Design and develop predictive models to forecast key business metrics
- Collaborate with cross-functional teams to understand business requirements and develop data-driven solutions
- Communicate findings and recommendations to stakeholders in a clear and concise manner as well as providing user friendly dashboards
- Stay up-to-date with the latest techniques and tools in data science and applied analytics
**Requirements**:
**What skills do you need?**
- Advanced degree in a quantitative field such as Statistics, Mathematics, or Computer Science
- Experience working with different datasets and performing statistical analysis
- Proficiency in Python for data manipulation and modeling
- Ability to work in a fast-paced, collaborative environment
**Benefits**
**We offer**:
- Competitive Salaries
- Hybrid working environment
- Paid time off
- Healthcare coverage
- A highly collaborative team environment that will support your professional and personal growth
- A culture of learning and innovation
- Office located at Maadi, Cairo
Our technical team is led by Khaled Nassef, the Co-Founder & CTO of FlapKap. Khaled comes with more than 10 years of experience working in reputable tech companies like Amazon Web Services (AWS) and German FinTech unicorn, N26.
We are the financial growth partner for the digitally-native businesses in the Middle East and Africa. We support online businesses to overcome their cash constraints by financing their working capital and we ensure their growth without losing equity. We also give them insights on their media spend to maximize their revenues and profits.
**Why FlapKap?**
FlapKap is fast, smart, collaborative and first a kind startup that aims to disrupt the financial industry in MEA FlapKap is backed by QED, A15, Outliers, and Nclude with a total financing of $3.6m USD. FlapKap is a safe environment with a welcoming atmosphere to creativity and innovation FlapKap is dynamic and progressive. Everyday there are new challenges and significant achievements that make everyone charged, excited and proud to belong.
**What is this role?**
We are looking for a talented and experienced Data Scientist to join our team at FlapKap. As a Data Scientist, you will be responsible for developing and implementing data-driven solutions to optimize our business operations, improve customer experience, and drive overall growth.
**What will you do?**
- Use statistical analysis and machine learning techniques to analyze large datasets and extract insights
- Design and develop predictive models to forecast key business metrics
- Collaborate with cross-functional teams to understand business requirements and develop data-driven solutions
- Communicate findings and recommendations to stakeholders in a clear and concise manner as well as providing user friendly dashboards
- Stay up-to-date with the latest techniques and tools in data science and applied analytics
**Requirements**:
**What skills do you need?**
- Advanced degree in a quantitative field such as Statistics, Mathematics, or Computer Science
- Experience working with different datasets and performing statistical analysis
- Proficiency in Python for data manipulation and modeling
- Ability to work in a fast-paced, collaborative environment
**Benefits**
**We offer**:
- Competitive Salaries
- Hybrid working environment
- Paid time off
- Healthcare coverage
- A highly collaborative team environment that will support your professional and personal growth
- A culture of learning and innovation
- Office located at Maadi, Cairo
Our technical team is led by Khaled Nassef, the Co-Founder & CTO of FlapKap. Khaled comes with more than 10 years of experience working in reputable tech companies like Amazon Web Services (AWS) and German FinTech unicorn, N26.
This advertiser has chosen not to accept applicants from your region.
8
Data Scientist Position in Egypt
Target Recruitment & HR Solutions
Posted today
Job Viewed
Job Description
A multinational company is looking for Data Scientist
We are currently seeking a skilled “Data Scientist” for a well-known multinational company.
**Responsibilities**:
- The data scientist continuously enhances and maintains our risk assessment algorithms.
- Develop, test, implement, and release various models.
- Create fraud prevention models and rules, and perform monitoring.
- Utilize SQL data to develop reporting in Tableau.
- Evaluate the effectiveness of rules, processes, scoring models, and decision-making strategy tools. Prepare datasets for analysis and reporting purposes.
- Analyze key performance indicators (KPIs) to support decision-making and provide recommendations.
- Collaborate on designing collections strategies for specific segments.
**Requirements**:
- Bachelor’s degree in Mathematics, Computer Science, or a related technical field.
- 2-3 years of experience as an analyst in the risk or collection department.
- Advanced proficiency in SQL. Fluent in English (B2+ level). Proficient in Python.
- Strong knowledge of statistics.
- Familiarity with modeling and machine learning techniques is a plus.
- Experience with data visualization tools, including Tableau.
We are currently seeking a skilled “Data Scientist” for a well-known multinational company.
**Responsibilities**:
- The data scientist continuously enhances and maintains our risk assessment algorithms.
- Develop, test, implement, and release various models.
- Create fraud prevention models and rules, and perform monitoring.
- Utilize SQL data to develop reporting in Tableau.
- Evaluate the effectiveness of rules, processes, scoring models, and decision-making strategy tools. Prepare datasets for analysis and reporting purposes.
- Analyze key performance indicators (KPIs) to support decision-making and provide recommendations.
- Collaborate on designing collections strategies for specific segments.
**Requirements**:
- Bachelor’s degree in Mathematics, Computer Science, or a related technical field.
- 2-3 years of experience as an analyst in the risk or collection department.
- Advanced proficiency in SQL. Fluent in English (B2+ level). Proficient in Python.
- Strong knowledge of statistics.
- Familiarity with modeling and machine learning techniques is a plus.
- Experience with data visualization tools, including Tableau.
This advertiser has chosen not to accept applicants from your region.
9