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NorthBay Solutions

<div>
 
 Senior Data Scientist &ndash; GenAI
 
 
 
 Experience:
 
 5&ndash;7 Years
 
 
 Location:
 
 Cairo, Egypt (Onsite)
 
 
 Employment Type:
 
 Full-Time
 
 
 About the Role
 
 
 NorthBay Solutions is seeking a
 
 Senior Data Scientist
 
 with strong expertise in
 
 GenAI and AI/ML
 
 . The candidate will build, fine-tune, and deploy AI/ML models, integrate them with enterprise systems, and support AI initiatives on cloud and hybrid infrastructures.
 
 
 Key Responsibilities
 
 <ul>
 <li>
 Build, fine-tune, and deploy
 
 Large Language Models (LLMs)
 
 including LLAMA, Mistral, and GPT
 </li>
 <li>
 Implement
 
 Agentic AI
 
 , multi-agent systems, and RAG workflows
 </li>
 <li>
 Design, develop, and deploy
 
 AI/ML models
 
 integrated with enterprise systems
 </li>
 <li>
 Work with
 
 vector databases
 
 , LangChain, Langraph, and other GenAI toolchains
 </li>
 <li>
 Apply
 
 advanced prompt engineering
 
 and Chain-of-Thought techniques
 </li>
 <li>
 Deploy AI/ML models on
 
 cloud platforms
 
 (AWS, Azure, GCP) and maintain production pipelines
 </li>
 <li>
 Contribute to
 
 CI/CD pipelines
 
 and
 
 DevOps practices
 
 for AI/ML solutions
 </li>
 </ul>
 
 Technical Requirements
 
 <ul>
 <li>
 
 GenAI &amp; AI/ML Skills:
 
 2&ndash;3 years hands-on experience with LLMs and GenAI applications
 </li>
 <li>
 
 Programming &amp; ML Frameworks:
 
 Proficient in Python, TensorFlow, PyTorch
 </li>
 <li>
 
 Data &amp; Database Skills:
 
 SQL (PostgreSQL/MySQL) and NoSQL (MongoDB)
 </li>
 <li>
 
 API &amp; Integration:
 
 Experience with RESTful APIs, microservices, and model integration
 </li>
 <li>
 
 Cloud &amp; Deployment:
 
 Hands-on experience with AWS SageMaker, Lambda, Azure ML, or equivalent
 </li>
 </ul>
 
 Preferred Qualifications
 
 <ul>
 <li>
 Cloud certifications (AWS, Azure, or GCP)
 </li>
 <li>
 Agile/Scrum experience
 </li>
 <li>
 Strong communication skills to bridge technical and business stakeholders
 </li>
 </ul>
</div>

Senior Data Scientist – GenAI

Envision Employment Solutions

<div>
 
 
 Envision Employment Solutions
 
 is currently hiring a
 
 Senior Data Scientist
 
 for one of our partners, a global leader in IT Services and IT Consulting.
 
 
 
 
 
 
 
 
 
 Job Summary:
 
 
 
 We are seeking a highly experienced Senior Data Scientist to design, build, and deploy advanced machine learning and NLP solutions, including large language model applications. The ideal candidate has strong production experience, deep expertise in transformer-based architectures, and a proven ability to lead technical initiatives from research to deployment.
 
 
 
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 Machine Learning &amp; NLP Development
 
 
 <ul>
 <li>
 Design and develop end-to-end machine learning models, with a strong focus on NLP applications
 </li>
 <li>
 Fine-tune and deploy large language models such as GPT, BERT, and LLaMA for specific use cases
 </li>
 <li>
 Build, train, and evaluate deep learning models using TensorFlow, PyTorch, or Keras
 </li>
 <li>
 Implement Retrieval-Augmented Generation (RAG) and embedding-based semantic search solutions
 </li>
 <li>
 Develop and optimize transformer-based models for summarization, Q&amp;A, and document intelligence tasks
 </li>
 <li>
 Evaluate and optimize prompt engineering strategies and context efficiency
 </li>
 </ul>
 
 
 
 
 
 Data
 
 
 Engineering
 
 &amp; Pipelines
 
 <ul>
 <li>
 Develop data pipelines using tools such as Airflow, Spark, or Dataiku
 </li>
 <li>
 Perform data wrangling and preprocessing using pandas and NumPy
 </li>
 <li>
 Design and manage feature stores
 </li>
 <li>
 Integrate and manage vector databases such as Pinecone, FAISS, or Chroma
 </li>
 </ul>
 
 
 
 
 
 Model Deployment &amp; Production
 
 
 <ul>
 <li>
 Build and maintain RESTful APIs for serving ML models in production
 </li>
 <li>
 Deploy scalable AI services and manage CI/CD pipelines
 </li>
 <li>
 Monitor model performance, drift detection, and lifecycle management
 </li>
 <li>
 Conduct A/B testing, ensemble blending, and apply explainability techniques such as SHAP and LIME
 </li>
 </ul>
 
 
 
 
 
 Statistical &amp; Analytical Expertise
 
 
 <ul>
 <li>
 Apply advanced statistics, probability theory, and experimental design
 </li>
 <li>
 Conduct hypothesis testing and data-driven analysis to support business decisions
 </li>
 </ul>
 
 
 
 
 
 Collaboration &amp; Integration
 
 
 <ul>
 <li>
 Work closely with product and engineering teams to embed AI solutions into production systems
 </li>
 <li>
 Collaborate with cross-functional stakeholders to deliver scalable AI capabilities
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Requirements
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Artificial Intelligence, Computer Science, or related field
 </li>
 <li>
 Minimum 4 years of experience in machine learning and data science roles
 </li>
 <li>
 Proven track record of delivering production-grade ML and NLP projects
 </li>
 <li>
 Experience leading small data science teams or technical workstreams
 </li>
 </ul>
 
 
 
 
 
 Technical Requirements
 
 
 <ul>
 <li>
 Strong programming skills in Python and R
 </li>
 <li>
 Proficiency in ML libraries including Scikit-learn, pandas, and NumPy
 </li>
 <li>
 Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras
 </li>
 <li>
 Hands-on experience with NLP libraries including NLTK, spaCy, TextBlob, and Hugging Face Transformers
 </li>
 <li>
 Strong expertise in transformer architectures and LLM fine-tuning
 </li>
 <li>
 Experience using LangChain or LlamaIndex for orchestration
 </li>
 <li>
 Experience deploying ML models via RESTful APIs
 </li>
 <li>
 Knowledge of model monitoring, explainability, and performance optimization
 </li>
 </ul>
 
 
 
 
 
 Leadership and Soft Skills
 
 
 <ul>
 <li>
 Ability to lead small teams or project workstreams
 </li>
 <li>
 Strong ownership mindset with focus on quality and delivery timelines
 </li>
 <li>
 Ensures alignment of technical work with business KPIs
 </li>
 <li>
 Coaches and mentors mid-level team members
 </li>
 <li>
 Strong problem-solving and collaboration skills
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Benefits &amp; Work Setup
 
 
 <ul>
 <li>
 Basic salary
 </li>
 <li>
 Social insurance
 </li>
 <li>
 Family Medical Insurance (AXA)
 </li>
 <li>
 
 Location:
 
 New Cairo
 </li>
 <li>
 
 Work Model:
 
 Hybrid &ndash; 2 days in the office and 3 days remote. If assigned to a project, you may be required to work from the client&rsquo;s premises on a daily basis, depending on the project requirements.
 </li>
 <li>
 
 Working Hours:
 
 9 AM to 6 PM
 </li>
 <li>
 
 Days Off:
 
 Fridays and Saturday
 </li>
 </ul>
</div>

Senior Data Scientist

Integrant, Inc.

<div>
 
 We Are Hiring!
 
 
 Integrant is seeking talented individuals to join our team as a "Senior Data Scientist." As a senior member of our Data Science team, you will contribute to the development and deployment of advanced data models and algorithms to solve complex business problems. You will work closely with clients to understand their requirements and deliver data-driven insights to drive strategic decision-making.
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Apply statistical and machine learning techniques to analyze structured and unstructured data.
 </li>
 <li>
 Develop and implement predictive models, recommendation systems, and other data products.
 </li>
 <li>
 Work on the exploration and implementation of generative AI techniques to develop innovative applications that enhance business processes and customer experiences.
 </li>
 <li>
 Collaborate with cross-functional teams to identify opportunities and provide data-driven solutions.
 </li>
 <li>
 Present insights and findings to clients in a clear and actionable manner.
 </li>
 <li>
 Mentor and guide junior team members in data science methodologies and best practices.
 </li>
 <li>
 Stay updated with the latest advancements in data science and machine learning fields.
 </li>
 
 
 </ul>
 
 Requirements
 
 
 
 <ul>
 <ul>
 <li>
 4+ years of experience in data science or related field.
 </li>
 <li>
 Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field is a nice to have.
 </li>
 <li>
 Strong programming skills in Python and experience with data manipulation and analysis libraries (e.g., Pandas, NumPy).
 </li>
 <li>
 Proficient in applying machine learning techniques and algorithms (e.g., decision trees, random forests, SVMs, KNNs).
 </li>
 <li>
 Deep understanding of basic and advanced neural network architectures.
 </li>
 <li>
 Hands on experience with deep learning frameworks (e.g., pytorch, tensorflow, keras).
 </li>
 <li>
 Experience with data visualization and storytelling tools (e.g., Tableau, Power BI).
 </li>
 <li>
 Knowledge of SQL and database systems to extract and manipulate data.
 </li>
 <li>
 Good knowledge about LLMs, RAG and agents.
 </li>
 <li>
 Good to have: Hands on experience in building applications on top of GenAI as Chatbots.
 </li>
 <li>
 Excellent problem-solving and analytical skills.
 </li>
 <li>
 Strong communication and presentation skills.
 </li>
 <li>
 Ability to work independently and collaboratively in a fast-paced environment.
 </li>
 <li>
 Experience with cloud technologies (e.g., Azure, AWS) is a plus.
 </li>
 <li>
 &NoBreak;Knowledge of data platforms such as Databricks, Snowflake, or similar is a plus.
 
 
 </li>
 </ul>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Salary paid in USD
 </li>
 <li>
 Six-month career advancing opportunities
 </li>
 <li>
 Supportive and friendly work environment
 </li>
 <li>
 Premium medical insurance [employee +family]
 </li>
 <li>
 English language development courses
 </li>
 <li>
 Interest-free loans paid over 2.5 years
 </li>
 <li>
 Technical development courses
 </li>
 <li>
 Planned overtime program (POP)
 </li>
 <li>
 Employment referral program
 </li>
 <li>
 Premium location in Maadi &amp; Nasr City
 </li>
 <li>
 Social insurance
 </li>
 <li>
 In-house Technical and English training programs
 </li>
 <li>
 Flexible work schedules
 </li>
 <li>
 Perks: events, sponsored lunch, game area, rooftop hangout + more!
 </li>
 </ul>
</div>

Arrow Electronics

<div>
 
 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
 
 
 
 <ul>
 <li>
 Machine Learning Model Development: Design, develop, and implement advanced machine learning models and algorithms to solve real-world problems in various domains.
 </li>
 <li>
 Data Analysis: Explore and analyze large datasets to extract meaningful insights and identify trends, anomalies, and patterns.
 </li>
 <li>
 Model Evaluation: Evaluate the performance of machine learning models using appropriate metrics and fine-tune models for optimal results.
 </li>
 <li>
 Deployment: Lead the deployment of machine learning models into production environments and ensure scalability and efficiency.
 </li>
 <li>
 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.
 </li>
 <li>
 Mentorship: Provide guidance and mentorship to junior data scientists and machine learning engineers, fostering a culture of continuous learning and growth.
 </li>
 <li>
 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.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Proven experience (2 to 5 years) in developing and deploying machine learning models in a production environment.
 </li>
 <li>
 Proficiency in programming languages, especially Python, and experience with data-related libraries such as pandas, matplotlib, NumPy, etc.
 </li>
 <li>
 Strong knowledge of machine learning frameworks and libraries.
 </li>
 <li>
 Expertise in data preprocessing, feature engineering, and model selection.
 </li>
 <li>
 Familiarity with large language models and AI agent design.
 </li>
 <li>
 Experience with text-based NLP, information extraction, entity recognition, and text-related data science tasks is highly desirable.
 </li>
 <li>
 Strong communication skills and the ability to convey technical concepts to non-technical stakeholders.
 </li>
 <li>
 Experience with vectorized databases and unstructured search engines is a plus.
 </li>
 <li>
 A Master&rsquo;s degree in computer science, Statistics, Data Science, or a related field is a plus.
 </li>
 <li>
 Publications or contributions to open-source projects are a plus.
 
 
 </li>
 </ul>
 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 &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
</div>

Data Scientist / Senior Machine Learning Engineer

Microsoft AI

<div>
 
 Overview
 
 
 
 Microsoft&rsquo;s Online Shopping team is collaborative and interdisciplinary. You will work closely with a diverse team within Microsoft that brings together Applied Scientists, software engineers, Data engineers and Product Managers. By bringing together a unique combination of knowledge and skillsets, as well as cutting edge Technology, we build novel solutions to global online Shopping.
 
 
 As a
 
 Snr Applied Sciences Specialist in AI, and NLP,
 
 you will build top-notch models to solve a multitude of tasks core to building and enriching Microsoft Product Catalog. This opportunity will allow you to accelerate your career growth, develop deep problem-solving skills, collaborate with different team through active engagement with teams from different cultures.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Master one or more subareas and gain expertise in a broad area of research, including applicable research techniques.
 </li>
 <li>
 Gain deep knowledge of a service, platform, or domain, and identify product needs by sharing the latest industry trends and applied technologies.
 </li>
 <li>
 Review business requirements and incorporate research to meet business goals.
 </li>
 <li>
 Provide strategic direction for the kinds of data used to solve problems and apply deep subject matter knowledge to support business impact.
 </li>
 <li>
 Participate in onboarding of junior team members and assist in developing academics to be members of multidiscipline teams.
 </li>
 <li>
 Identify new research talent to join Microsoft and collaborate with the academic community to develop the recruiting pipeline.
 </li>
 <li>
 Document work in progress and experimentation results and share findings to promote innovation.
 </li>
 <li>
 Use your deep understanding of fairness and bias to contribute to ethics and privacy policies related to research processes and data collection.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required/minimum qualifications
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
 
 
 </li>
 </ul>
 
 Additional Or Preferred Qualifications
 
 
 
 <ul>
 <li>
 Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
 </li>
 <li>
 3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
 </li>
 <li>
 Experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
 </li>
 <li>
 3+ years experience conducting research as part of a research program (in academic or industry settings).
 </li>
 <li>
 1+ year(s) experience developing and deploying live production systems, as part of a product team.
 </li>
 <li>
 1+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.
 
 
 </li>
 </ul>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Snr Applied Scientist

Microsoft

<div>
 
 Lead Data Scientist &ndash; GenAI
 
 
 
 Experience:
 
 10&ndash;12+ Years
 
 
 Location:
 
 Cairo, Egypt (Onsite)
 
 
 Employment Type:
 
 Full-Time
 
 
 About the Role
 
 
 NorthBay Solutions is seeking a
 
 Lead Data Scientist
 
 with deep expertise in
 
 GenAI, AI/ML, and enterprise architecture
 
 . This senior role will
 
 lead AI initiatives
 
 , mentor technical teams, and deliver complex AI solutions across cloud, on-premises, and hybrid environments.
 
 
 Key Responsibilities
 
 <ul>
 <li>
 Lead the design and architecture of
 
 AI-powered enterprise solutions
 
 </li>
 <li>
 Drive technical decisions across
 
 infrastructure, databases, APIs, microservices, and AI components
 
 </li>
 <li>
 Lead
 
 Agentic AI
 
 , multi-agent systems, and RAG workflow implementations
 </li>
 <li>
 Deploy LLMs and GenAI applications in
 
 production environments
 
 </li>
 <li>
 Provide guidance on
 
 prompt engineering
 
 , Chain-of-Thought, and advanced AI/ML techniques
 </li>
 <li>
 Integrate AI/ML models with
 
 enterprise systems
 
 for high performance and scalability
 </li>
 <li>
 Mentor and manage technical teams, ensuring
 
 knowledge transfer and best practices
 
 </li>
 <li>
 Lead
 
 AI/ML projects from conceptualization to delivery
 
 , including cloud and hybrid deployments
 </li>
 </ul>
 
 Technical Requirements
 
 <ul>
 <li>
 
 GenAI Expertise:
 
 3+ years hands-on experience with LLM fine-tuning and production deployment
 </li>
 <li>
 
 AI/ML &amp; Enterprise Architecture:
 
 5+ years in Python, TensorFlow, PyTorch, full-stack development, Kubernetes, SQL/NoSQL databases, APIs, and microservices
 </li>
 <li>
 
 Cloud &amp; Deployment:
 
 Strong experience with AWS/Azure/GCP, SageMaker, Bedrock, Lambda, API Gateway
 </li>
 <li>
 
 DevOps &amp; CI/CD:
 
 Experience managing pipelines for ML/AI production systems
 </li>
 </ul>
 
 Preferred Qualifications
 
 <ul>
 <li>
 Cloud certifications (Solutions Architect + ML Specialty preferred)
 </li>
 <li>
 Agile/Scrum leadership experience
 </li>
 <li>
 Excellent communication skills bridging business and technical stakeholders
 </li>
 </ul>
</div>

Lead Data Scientist – GenAI

Explore 343+ Senior research scientist in Cairo this March. Find roles across top companies and apply now to boost your career.

343 senior research scientist jobs In Cairo

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Lead Data Scientist – GenAI