72 Data Training jobs in Egypt

As a member of the BI/DWH Big Data chapter at Advansys, you will focus on big data cluster management and SQL performance tuning to ensure the optimal operation of our data warehouse systems. You will play a critical role in supporting our data architecture strategies, leveraging your expertise to manage complex big data environments and develop robust solutions that drive business intelligence initiatives.

In this role, you will:

• Manage and optimize big data clusters for high availability and performance.
• Monitor and troubleshoot issues related to cluster performance, scalability, and reliability.
• Design and implement efficient SQL queries and stored procedures to enhance data retrieval processes.
• Collaborate with data engineers and analysts to establish best practices for data management and processing.
• Implement vehicle management for big data environments, ensuring compliance with corporate data governance policies.
• Participate in the development of data access and retention policies.
• Contribute to the continuous improvement of data processes and methodologies through research and experimentation with emerging technologies.

Requirements:

• Key Skills
• Cluster Management Tools:
• Experience with big data tools such as Hadoop, Spark, or Hive for cluster management.
• SQL Expertise:
• Deep understanding of SQL, including performance tuning and optimization techniques.
• Big Data Technologies:
• Knowledge of cloud-based big data technologies (e.g., AWS, Azure, Google Cloud) is a plus.
• Data Governance:
• Awareness of data governance principles and best practices.
• Soft Skills:
• Excellent problem-solving abilities and attention to detail.
• Strong verbal and written communication skills.

Qualifications:

• Education:
• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Experience:
• 3-4 years of experience in big data management or business intelligence roles.
• Proven track record of managing big data clusters and optimizing SQL databases.
• Certifications (optional but preferred):
• Certifications in big data technologies or platforms (e.g., Cloudera, AWS Certified Big Data - Specialty).

Benefits:

• Hybrid working model
• Social and medical insurance
• Transportation

Ready to join one of the fastest-growing agencies in the growth space doing real innovation? You've arrived at the right place This Software Engineering position is with NoGood's sister company, Goodie AI. Read on to learn more.

About Goodie AI:
Goodie AI is the pioneering LLM visibility and AI search optimization platform enabling the world's top brands to own their AI narrative across leading LLMs like ChatGPT, Gemini and Perplexity. Backed by strong funding and validated by active paying customers, we are scaling fast and tackling some of the hardest AI search challenges.

We are looking for an exceptional Senior Software Engineer to join our rapidly growing team. You will play a critical role in driving and accelerating the development of cutting-edge AI use cases, working closely with our Product Lead, Designers, and Machine Learning Engineers to design and build scalable, industry-leading AI platforms.

After you apply, check out
Goodie AI's website
to learn even more
Why join us:

• Shape the future of AI search and brand discovery—work at the cutting edge of Answer Engine Optimization (AEO)
• End-to-end ownership—drive scalability, speed, and user experience of our AI-Native platform
• Work on high-impact AI applications used by top brands
• Well-funded, fast-growing AI startup with a strong product-market fit

You Have:

• End-to-End ML Pipeline Development: Design, implement, and maintain scalable ML pipelines — from data preprocessing to model training and deployment
• LLM Integration: Collaborate on fine-tuning and deploying large language models (LLMs) like GPT, BERT, or open-source alternatives (e.g., LLaMA, Mistral) for NLP-driven applications
• Data Engineering & Analysis: Work with structured and unstructured data — perform wrangling, cleaning, and feature engineering using tools like Pandas, PySpark, or Dask
• Model Monitoring & Optimization: Use MLOps tools (e.g., MLflow, Weights & Biases) for experiment tracking, model versioning, and continuous performance monitoring
• Interactive Visualizations: Develop dashboards and data visualizations using Plotly, Dash, or Streamlit to communicate findings effectively
• Cloud-native Deployment: Support model deployment using FastAPI or Flask, containerized via Docker, and deployed on cloud platforms (AWS/GCP/Azure)
• Research & Innovation: Stay current with emerging trends in ML and generative AI; evaluate and prototype new models, algorithms, and frameworks

You Will Do:

• Bachelor's degree in Computer Science, Machine Learning, Data Science, Engineering, or related field
• 2-4 years of hands-on experience in ML engineering, data science, or full-stack development involving ML components
• Proficiency in Python and core ML/data libraries (NumPy, Pandas, Scikit-learn, etc.)
• Working knowledge of TensorFlow, PyTorch for model development
• Experience with Natural Language Processing and foundational NLP libraries (spaCy, Hugging Face Transformers, NLTK)
• Exposure to modern LLM stacks (e.g., LangChain, LlamaIndex) and prompt engineering
• Familiarity with version control (Git) and collaborative development practices
• Experience working with SQL and NoSQL databases

• (Bonus) Experience with:

• Cloud platforms (AWS , GCP , or Azure )

• CI/CD pipelines and containerization (Docker, Kubernetes)
• Experiment tracking tools (MLflow, W&B)
• Vector databases (Pinecone, Chroma Db)

BEWARE OF FRAUD Please be aware of potentially fraudulent job postings or suspicious activity by persons that are posing as NoGood team members, recruiters, and HR employees. Our team will contact you regarding job opportunities from email addresses ending in or Additionally, we do utilize our ATS- Workable- to help us schedule initial screening calls. Job seeking is hard- we're sorry that scammers have added this element to your search for something new. Stay vigilant out there

Join Us
At Vodafone, we're not just shaping the future of connectivity for our customers – we're shaping the future for everyone who joins our team. When you work with us, you're part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.

Role Purpose:
The Junior ML Engineer is a core member of the agile teams facilitating trained ML models to deliver E2E solutions as a final product that fulfill the COE automation target. The junior machine Learning Engineer job is to mainly develop and design machine learning pipeline / integrations using different machine learning platforms and his software engineering / cloud skills.

Key accountabilities and decision ownership:

• Develop solutions for real world, large scale problems
• Design, develop, test, deploy, maintain and improve software
• Manage individual project priorities, deadlines and deliverables
• Create and maintain ML pipeline and workflows

Develop and deploy integrations/APIs on cloud.

Core competencies, knowledge and experience:

• Bachelor Degree in computer science and/or engineering or equivalent with 0-3 years of relevant experience
• Working in international, distributed teams
• Experience of working on projects that span multi-disciplinary areas of differing size and complexity to meet business expectations and deliver results
• Confident and able to liaise and influence at all levels within Vodafone and/or relevant customer organizations

Able to communicate effectively across organizational, technical and political boundaries, understanding the context

Must have technical / professional qualifications:

• Computer Science fundamentals in object-oriented design, data structures, algorithms and complexity analysis
• Proficiency in Python
• Information Retrieval
• Data Mining
• Natural language Programming
• Machine Learning
• Python Data Science stack (NLTK, Pandas, Numpy)
• Proficiency in HTML, Javascript, CSS and general Web 2.0 techniques
• Experience taking a leading role in building complex software systems that have been successfully delivered to customers
• Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
• Experience with GCP and/or AWS products
• Hands-on Experience with Sklearn, Tensor Flow
• Experience with Django/ Flask
• Familiarity with react js
• RESTful API
• Familiarity with docker and kubernetes

Ready to join one of the fastest-growing agencies in the growth space doing real innovation? You've arrived at the right place This Software Engineering position is with NoGood's sister company, Goodie AI. Read on to learn more.

About Goodie AI:
Goodie AI is the pioneering LLM visibility and AI search optimization platform enabling the world's top brands to own their AI narrative across leading LLMs like ChatGPT, Gemini and Perplexity. Backed by strong funding and validated by active paying customers, we are scaling fast and tackling some of the hardest AI search challenges.

We are looking for an exceptional Senior Software Engineer to join our rapidly growing team. You will play a critical role in driving and accelerating the development of cutting-edge AI use cases, working closely with our Product Lead, Designers, and Machine Learning Engineers to design and build scalable, industry-leading AI platforms.

After you apply, check out
Goodie AI's website
to learn even more
Why join us:

• Shape the future of AI search and brand discovery—work at the cutting edge of Answer Engine Optimization (AEO)
• End-to-end ownership—drive scalability, speed, and user experience of our AI-Native platform
• Work on high-impact AI applications used by top brands
• Well-funded, fast-growing AI startup with a strong product-market fit

You Have:

• End-to-End ML Pipeline Development: Design, implement, and maintain scalable ML pipelines — from data preprocessing to model training and deployment
• LLM Integration: Collaborate on fine-tuning and deploying large language models (LLMs) like GPT, BERT, or open-source alternatives (e.g., LLaMA, Mistral) for NLP-driven applications
• Data Engineering & Analysis: Work with structured and unstructured data — perform wrangling, cleaning, and feature engineering using tools like Pandas, PySpark, or Dask
• Model Monitoring & Optimization: Use MLOps tools (e.g., MLflow, Weights & Biases) for experiment tracking, model versioning, and continuous performance monitoring
• Interactive Visualizations: Develop dashboards and data visualizations using Plotly, Dash, or Streamlit to communicate findings effectively
• Cloud-native Deployment: Support model deployment using FastAPI or Flask, containerized via Docker, and deployed on cloud platforms (AWS/GCP/Azure)
• Research & Innovation: Stay current with emerging trends in ML and generative AI; evaluate and prototype new models, algorithms, and frameworks

You Will Do:

• Bachelor's degree in Computer Science, Machine Learning, Data Science, Engineering, or related field
• 2-4 years of hands-on experience in ML engineering, data science, or full-stack development involving ML components
• Proficiency in Python and core ML/data libraries (NumPy, Pandas, Scikit-learn, etc.)
• Working knowledge of TensorFlow, PyTorch for model development
• Experience with Natural Language Processing and foundational NLP libraries (spaCy, Hugging Face Transformers, NLTK)
• Exposure to modern LLM stacks (e.g., LangChain, LlamaIndex) and prompt engineering
• Familiarity with version control (Git) and collaborative development practices
• Experience working with SQL and NoSQL databases

• (Bonus) Experience with:

• Cloud platforms (AWS , GCP , or Azure )

• CI/CD pipelines and containerization (Docker, Kubernetes)
• Experiment tracking tools (MLflow, W&B)
• Vector databases (Pinecone, Chroma Db)

BEWARE OF FRAUD Please be aware of potentially fraudulent job postings or suspicious activity by persons that are posing as NoGood team members, recruiters, and HR employees. Our team will contact you regarding job opportunities from email addresses ending in or Additionally, we do utilize our ATS- Workable- to help us schedule initial screening calls. Job seeking is hard- we're sorry that scammers have added this element to your search for something new. Stay vigilant out there

Giza, Egypt

Job description

Requisition ID

Date posted

08/25/2025

Join Us

At Vodafone, we're not just shaping the future of connectivity for our customers – we're shaping the future for everyone who joins our team. When you work with us, you're part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.

Role Purpose:

The Junior ML Engineer is a core member of the agile teams facilitating trained ML models to deliver E2E solutions as a final product that fulfill the COE automation target. The junior machine Learning Engineer job is to mainly develop and design machine learning pipeline / integrations using different machine learning platforms and his software engineering / cloud skills.

Key accountabilities and decision ownership:

• Develop solutions for real world, large scale problems.
• Design, develop, test, deploy, maintain and improve software.
• Manage individual project priorities, deadlines and deliverables.
• Create and maintain ML pipeline and workflows.

Develop and deploy integrations/APIs on cloud.

Core competencies, knowledge and experience:

• Bachelor Degree in computer science and/or engineering or equivalent with 0-3 years of relevant experience.
• Working in international, distributed teams.
• Experience of working on projects that span multi-disciplinary areas of differing size and complexity to meet business expectations and deliver results
• Confident and able to liaise and influence at all levels within Vodafone and/or relevant customer organizations

Able to communicate effectively across organizational, technical and political boundaries, understanding the context

Must have technical / professional qualifications:

• Computer Science fundamentals in object-oriented design, data structures, algorithms and complexity analysis.
• Proficiency in Python.
• Information Retrieval.
• Data Mining.
• Natural language Programming.
• Machine Learning
• Python Data Science stack (NLTK, Pandas, Numpy).
• Proficiency in HTML, Javascript, CSS and general Web 2.0 techniques.
• Experience taking a leading role in building complex software systems that have been successfully delivered to customers
• Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
• Experience with GCP and/or AWS products.
• Hands-on Experience with Sklearn, Tensor Flow.
• Experience with Django/ Flask.
• Familiarity with react js.
• RESTful API.
• Familiarity with docker and kubernetes.

Insights from previous hires

Top skills

Coding

CSS

JavaScript

Java

Software Development

Previously worked as

1. Software Engineer

2. Software Developer

3. Senior Software Engineer

4. Machine Learning Engineer

5. Data Scientist

About us:

Elsewedy Electric: Powering Progress, Empowering PeoplE

For over 80 years
, Elsewedy Electr
ic has been a leading manufacturer of electrical products and solutions, operating in 19 countries with over 18,000 employees. We offer a diverse range of products across wire & cable, electrical equipment, engineering & construction, digital solutions, and infrastructure investments. Beyond our manufacturing prowess, we're passionate about creating a positive and empowering work environment for our team. We foster a culture of diversity, inclusion, and continuous learning, providing opportunities for professional development and career growth. Our commitment to employee well-being extends beyond compensation with initiatives promoting work-life balance and overall well-being. Join us and be part of a company that's not just powering progress, but empowering people to build a brighter future.

This job opportunity is offere
d by Elsewedy Electric Graduate Development Program
The program is designed for Graduates with 0-2 years' of experience. The program offers various job rotations, mentorships, coaching & trainings. 2024 & 2025 Graduates are welcomed to apply

Roles & Responsibilities:

• Collect, clean, and join data from manufacturing systems (e.g., sensors, SCADA, MES) and business systems (e.g., ERP, CRM, finance, HR).
• Build and validate machine learning models for use cases such as quality prediction, demand forecasting, and cost optimization.
• Write complex SQL queries to extract insights across different structured databases (e.g., Oracle, SQL Server).
• Create and maintain interactive dashboards (Power BI, Tableau) to support operational and strategic decisions.
• Collaborate with operations, business units, and IT to understand data needs and processes.
• Document models and workflows and ensure data integrity across sources.

You're a great fit if you have:

• Bachelor's degree in Computer Science or a related field.
• 0-2 Years' of experience in the same field.
• Fluent Written and Verbal English is a
  must.
• Proficient in Python (pandas, scikit-learn, matplotlib) and SQL
• Familiarity with BI tools (e.g., Power BI, Tableau)
• Understanding of basic ML concepts (classification, regression, clustering)
• Certifications in data science, ML (e.g., Coursera, Google Data Analytics, Microsoft Azure Data Scientist Associate) is preferrable.

حلول فيلينتس بالذكاء الاصطناعي تخدم أكثر من 5 وزارات حكومية في المملكة العربية السعودية والكثير من الشركات الكبيرة والناشئة في مختلف القطاعات مثل مجالات التوظيف، التعليم، تطوير الموظفين، تأهيل الطلاب، خدمة العملاء، المبيعات، وغيرها. وذلك من خلال تطوير واجهات برمجة التطبيقات مثل المحادثات التفاعلية مع الذكاء الاصطناعي، تحويل الصوت والفيديو إلى نص، .تحليل الفيديو، قراءة ومطابقة المستندات، اختبارات المهارات، ونظام مكافحة الغش. والمزيد والمزيد. تعرف أكثر على حلول فيلينتس بالذكاء الاصطناعي من خلال موقعنا

Key Responsibilities

• Lead the development and fine-tuning of advanced transcription models, with a keen focus on optimizing prompt design to improve model accuracy and efficiency.
• Take charge of integrating, maintaining, and continually enhancing open-source LLMs, with particular attention to prompt engineering and response optimization.
• Work closely with cross-functional teams to identify data needs and implement machine learning solutions that leverage effective prompt strategies for enhanced performance.
• Establish and oversee robust pipelines for the training and deployment of models, ensuring the efficient handling of diverse data formats.
• Engage in continuous research to stay abreast of the latest advancements in machine learning, NLP, AI, and prompt engineering, applying innovative techniques to our products and services.
• Ensure the scalability, security, and privacy of our machine learning systems, adhering to industry best practices in model training, data handling, and deployment.

Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• At least 5 years of experience in machine learning development, with specific expertise in NLP, transcription models, and prompt engineering.
• Proficiency in programming languages such as Python, and familiarity with ML frameworks like TensorFlow or PyTorch.
• Demonstrated experience with large language models, including fine-tuning, optimization, and innovative prompt design.
• Strong capability in managing and processing large datasets, particularly in text, video, and audio formats.
• Exceptional problem-solving skills, creativity, and adaptability to new technological challenges.
• Fluent in English and Arabic, with excellent skills in both written and verbal communication.
• Proven ability to work collaboratively in a team environment, managing projects effectively and driving innovation.

What We Offer

• A collaborative and flexible work environment with a strong emphasis on innovation.
• Competitive salary in USD
• Medical Insurance
• Laptop Allowance

Location:
Remote

Type:
Full-Time

Team:
Product & research team

Reports to:
Head of Engineering

About Youtiva

We design and deploy
domain-specific AI brains
that power enterprises in finance, real estate, hospitality, and beyond. Our systems combine
LLMs, RAG pipelines, vector databases, and multimodal AI (voice, vision, chat)
to deliver real-world impact.

The Role

We're hiring a
Senior Machine Learning / AI Engineer (3–5 years experience)
to help architect, build, and scale our AI solutions. You'll work on
LLM fine-tuning, RAG systems, NLP chat/voice bots, and computer vision modules
, while supporting data pipelines and collaborating with product and engineering teams.

What You'll Do

• Design & deploy
  RAG systems
  with fine-tuned LLMs
• Build
  NLP pipelines, chatbots, and real-time voice AI
• Apply
  computer vision (OCR, detection, document intelligence)
• Work with
  vector databases
  and structured/unstructured data
• Support
  data collection, preprocessing, schema design
• Collaborate cross-functionally to deliver enterprise AI solutions

What We're Looking For

• 3–5 years in
  AI/ML engineering
• Hands-on with
  LLMs, Transformers, Hugging Face, LangChain
• Experience with
  vector DBs
  (FAISS, Pinecone, Weaviate, etc.)
• Strong skills in
  Python, PyTorch/TensorFlow
• Bonus:
  voice AI, MLOps, deployment pipelines
• Team player, motivated to build
  solution-driven AI

send me your resume to

As a full spectrum cloud integrator, we assist hundreds of companies to realize the value, efficiency, and productivity of the cloud. We take customers on their journey to enable, operate, and innovate using cloud technologies – from migration strategy to operational excellence and immersive transformation.

If you like a challenge, you'll love it here, because we solve complex business problems every day, building and promoting great technology solutions that impact our customers' success. The best part is, we're committed to you and your growth, both professionally and personally.

We are looking for a seasoned
Machine Learning Operations (MLOps) Engineer
to build and optimize machine learning platforms. This role requires deep expertise in machine learning engineering and infrastructure, with a strong focus on developing scalable inference systems. Proven experience in building and deploying ML platforms in production environments is essential. This remote position also requires excellent communication skills and the ability to independently tackle complex challenges with innovative solutions.

If you get a thrill working with cutting-edge technology and love to help solve customers' problems, we'd love to hear from you. It's time to rethink the possible. Are you ready?

What you will be doing:

• Build and optimize ML Platforms to support cutting-edge machine learning and deep learning models
• Collaborate closely with cross-functional teams to translate business objectives into scalable engineering solutions
• Develop CI/CD workflows for ML models and data pipelines using tools like Cloud Build, GitHub Actions, or Jenkins
• Automate model training, validation, and deployment across development, staging, and production environments
• Monitor and maintain ML models in production using Vertex AI Model Monitoring, logging (Cloud Logging), and performance metrics
• Ensure reproducibility and traceability of experiments using ML metadata tracking tools like Vertex AI Experiments or MLflow
• Manage model versioning and rollbacks using Vertex AI Model Registry or custom model management solutions
• Collaborate with data scientists and software engineers to translate model requirements into robust and scalable ML systems
• Optimize model inference infrastructure for latency, throughput, and cost efficiency using GCP services such as Cloud Run, Kubernetes Engine (GKE), or custom serving frameworks
• Implement data and model governance policies, including auditability, security, and access control using IAM and Cloud DLP
• Stay current with evolving GCP MLOps practices, tools, and frameworks to continuously improve system reliability and automation

Qualifications and skills:

• Bachelor's degree in computer science, Information Technology, or a related field
• 3+ years of relevant industry experience
• Proven track record in designing and implementing cost-effective, scalable machine learning inference systems
• Hands-on experience with leading deep learning frameworks such as TensorFlow, PyTorch, Hugging Face, and LangChain
• Proven experience in implementing MLOps solutions on Google Cloud Platform (GCP) using services such as Vertex AI, Cloud Storage, BigQuery, Cloud Functions, and Dataflow
• Solid understanding of machine learning algorithms, natural language processing (NLP), and statistical modeling
• Solid understanding of core computer science concepts, including algorithms, distributed systems, data structures, and database management
• Strong problem-solving skills, with the ability to tackle complex challenges using critical thinking and propose innovative solutions
• Effective in remote work environments, with excellent written and verbal communication skills. Proven ability to collaborate with team members and stakeholders to ensure clear understanding of technical requirements and project goals
• Expertise in public cloud platforms, particularly Google Cloud Platform (GCP) and Vertex AI
• Proven experience in building and scaling agentic AI systems in production environments
• In-depth understanding of large language model (LLM)architectures, parameter scaling, optimization strategies and deployment trade-offs
• Location - Remote in Egypt