7 Computer Vision jobs in Egypt
Computer Vision Engineer
Posted today
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Job Description
Develop and provide image processing & deep learning algorithms and solutions based on customer needs.
**Responsibilities**:
- Design data / image / video analytics algorithms and evaluate performance on large dataset
- Design, train, and optimize Deep Neural Networks with a view to implementing on embedded DSP platforms
- Implement and integrate algorithms into the overall solution
- Identify, validate, and document business needs and requirements
- Gather, research, and analyse system and operation processes / data to understand and formulate problems / opportunities
- Identify and evaluate solution concepts, formulate core problems into tractable mathematical problems
- Identify, validate, and document solution requirements
- Research and evaluate image / video / data analysis algorithm and packages based on image processing or machine learning.
- Create software development and integration plans, test plans, test cases, and acceptance criteria
- Perform testing; gather, analyse, and document test results
- Research, validate, troubleshoot, and resolve system / software issues and provide technical support regarding system / software capabilities, issues, and technical questions
- Identify, define, gather, and analyse solution operational performance metrics and determine necessary corrective actions and / or improvements.
**Job Requirements**:
- Bachelor of Science degree or higher in Computer Science, Engineering, Applied Mathematics, or a related technical field
- Knowledge of OpenCV and other open source image processing, computer vision, or data mining libraries
- Knowledge of pattern classification, image-based object detection, object matching
- Primary experience in building machine learning models and datasets
- Ability to define system / software requirements and perform requirement analysis
- Ability to create system / software architecture, design, and specifications
- Ability to perform system / software design review, technical assessment and trade-off study
- Ability to create system / software development and integration plans, test plans and test cases
- Ability to create and implement advanced algorithms to solve real customers problems
- Ability to perform system / software integration, installation, configuration, and testing
- Ability to create technical documentation such as user stories, requirements, design specifications, architectural diagrams, user manual
- Ability to adhere to schedules and work well in a highly collaborative environment on product development projects in a cross-functional, matrix environment and manage technical team as assistant
- Strong Arabic and English language knowledge - both spoken and written
Artificial Intelligence Engineer
Posted today
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Job Description
**Responsibilities**
Below are some of the responsibilities an artificial intelligence, machine learning engineer is expected to assume in their position:
- Design and develop AI models to meet project requirements
- Convert AI/ML models into APIs that other developers can use
- Perform statistical analysis on big data sets
- Manage project infrastructure and the development of AI models and projects
- Work with other machine learning engineers, data engineers, and AI engineers to develop machine learning models
**Job Qualifications and Skill Sets**
Below are the qualifications expected of an artificial intelligence engineer:
- Bachelor’s degree or several years of experience in computer science, data science, software development, or another related field; a master’s degree is recommended
- Solid understanding of common programming languages used in AI, such as Python, Java, C++, and R
- Advanced knowledge of statistical and algorithmic models as well as of fundamental mathematical concepts, such as linear algebra and probability
- Experience working with large data sets and writing efficient code capable of processing large data streams at speed
- Familiarity with deep learning and machine learning algorithms and the use of popular AI/ML frameworks
- Excellent communication skills
**Job Types**: Full-time, Contract
Data Scientist - Artificial Intelligence

Posted 13 days ago
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Job Description
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.
Data Scientist - Artificial Intelligence
Posted 17 days ago
Job Viewed
Job Description
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.
Data Engineer-machine Learning
Posted today
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Job Description
At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.
**Your Role and Responsibilities**
**Required Technical and Professional Expertise**
Required Skills:
- OpenText, FileNet, Content Management, DataCap, CaseManager, ECM
3-6 Years of Experience
**Preferred Technical and Professional Expertise**
NA
**About Business Unit**
IBM Consulting is IBM’s consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients’ businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet.
Are you craving to learn more? Prepared to solve some of the world's most unique challenges? And ready to shape the future for millions of people? If so, then it's time to join us, express your individuality, unleash your curiosity and discover new possibilities.
Every IBMer, and potential ones like yourself, has a voice, carves their own path, and uses their expertise to help co-create and add to our story. Together, we have the power to make meaningful change - to alter the fabric of our clients, of society and IBM itself, to create a truly positive impact and make the world work better for everyone.
It's time to define your career.
**About IBM**
Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business.
At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.
**Location Statement**
IBM wants you to bring your whole self to work and for you this might mean the ability to work flexibly. If you are interested in a flexible working pattern, please talk to our recruitment team to find out if this is possible in the current working environment.
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, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Python & Machine Learning Developer
Posted today
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Job Description
We are seeking a highly skilled and motivated Senior Python Developer to lead our smart AI and machine learning projects while also collaborating closely with team members on projects built on PHP. As a Senior Python Developer, you will play a pivotal role in designing, developing, and implementing cutting-edge AI solutions to address complex business challenges.
**Responsibilities**:
- Leading the development and deployment of AI and machine learning projects using Python, including but not limited to natural language processing (NLP), computer vision, predictive modeling, and recommendation systems.
- Collaborating with cross-functional teams to understand project requirements, design scalable solutions, and integrate AI capabilities into existing systems.
- Architecting robust and efficient machine learning pipelines, ensuring scalability, reliability, and performance.
- Mentoring and guide junior developers, providing technical expertise, code reviews, and best practices in Python development.
- Staying updated with the latest trends and advancements in AI, machine learning, and Python technologies, and incorporating them into project development.
- Working closely with stakeholders to gather feedback, iterate on solutions, and continuously improve AI models and algorithms.
- Contribute to the overall software development lifecycle, including requirements analysis, design, implementation, testing, and deployment.
- Collaborate with PHP developers to ensure seamless integration of AI components into PHP-based projects, maintaining consistency and compatibility across platforms.
**Requirements**:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Solid understanding of software engineering principles, including object-oriented programming, data structures, and algorithms.
- Experience in leading and managing AI projects, from conception to production deployment, with a focus on delivering high-quality, scalable solutions.
- Proficiency in Python programming and familiarity with PHP development is desirable.
- Strong analytical and problem-solving skills, with the ability to translate complex business requirements into technical solutions.
- Excellent communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical stakeholders.
- Self-motivated and proactive, with a passion for learning and staying updated with emerging technologies in AI and machine learning.
- Experience with cloud platforms (e.g., Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus. Experience with agile methodologies (e.g., Scrum, Kanban) and proficiency in version control systems (e.g., Git) is preferred.
Join our dynamic team and contribute to the development of innovative AI solutions that drive business growth and success.
Data Scientist / Senior Machine Learning Engineer

Posted 11 days ago
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Job Description
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.
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