senior ai engineer

senior software engineer

data engineer

data scientist

senior data engineer

senior data scientist

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 
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

Celfocus

<div>
 
 Make an impact
 
 by working for sectors where technology is the enabler, everything is ground-breaking and there&rsquo;s a constant need to be innovative.
 
 
 
 Create and enhance projects
 
 in Java, Python, Angular, PHP, .NET and so much more while diving in the world of Blockchain, Artificial Intelligence, Data Science, Security and Internet of Things.
 
 
 
 Be part of the team
 
 that combines business knowledge, technological edge and a design experience. Our different backgrounds and know-how are key in developing solutions and experiences for digital clients.
 
 
 
 Face challenges
 
 and learn other ways of thinking and seeing the world - there&rsquo;s always room for your energy and creativity.
 
 
 
 About The Role
 
 
 
 As a Senior Data Scientist, you will be responsible for leading the design of solutions and managing the teams developing them within a project. You will also be responsible for selecting a team with the appropriate skillset or alternatively ensuring that the team acquires the required capabilities in due time. You must also ensure proper solution delivery, monitoring, and governance using MLOps.
 
 
 
 As a part of your job, you will:
 
 
 
 <ul>
 <li>
 Leverage data and domain knowledge to solve business problems and create quantifiable value.
 </li>
 <li>
 Work cross-functionally to define problem statements, collect data, build analytical models, and design suitable solutions.
 </li>
 <li>
 Build and maintain (or lead the development of) data-driven optimization models, experiments, forecasting algorithms, and capacity constraint models.
 </li>
 <li>
 Lead teams into delivering models using best MLOps practices.
 </li>
 <li>
 Communicate final recommendations and support decision-making.
 
 
 
 </li>
 </ul>
 
 What are we looking for?
 
 
 
 <ul>
 <li>
 Degree in an analytical field (e.g., Computer Science, Engineering, Mathematics, Statistics, Operations Research, Management Science);
 </li>
 <li>
 Scripting with Python and nice to have one of these languages (e.g., Pyspark, Spark-mllib);
 </li>
 <li>
 Experienced with packages such as NumPy, SciPy, Pandas, Scikit-learn, matplotlib, and tensorflow/pytorch;
 </li>
 <li>
 4-5 Years of project experience as a Data Scientist;
 </li>
 <li>
 Professional experience with Java, Scala, or Spark;
 </li>
 <li>
 Experience working with and leading teams in a project environment;
 </li>
 <li>
 Experience in delivering projects using MLOps best practices.
 
 
 
 </li>
 </ul>
 
 Nice to have:
 
 
 
 <ul>
 <li>
 1+ years of SQL experience;
 </li>
 <li>
 Experience in distribution-based architectures such as Cloudera, AWS, Microsoft Azure Cloud, and GCP (Google Cloud Platform), among others;
 </li>
 <li>
 Knowledge of Data Governance.
 
 
 
 </li>
 </ul>
 
 Personal traits
 
 
 
 <ul>
 <li>
 Ability to adapt to different contexts, teams and Clients;
 </li>
 <li>
 Teamwork skills but also a sense of autonomy;
 </li>
 <li>
 Motivation for international projects and ok if travel is included;
 </li>
 <li>
 Willingness to collaborate with other players;
 </li>
 <li>
 Strong communication skills.
 
 
 
 </li>
 </ul>
 At Celfocus, we are committed to cultivate a diverse and inclusive workplace. As an equal-opportunity employer, we welcome applicants of all backgrounds, gender identities, and abilities. We are dedicated to providing reasonable accommodations for candidates with specific needs. If you require any adjustments during the selection process, please inform our Talent Acquisition Team.
 
 
 
 Come join the Team!
 
 
 
 
 Celfocus is pioneering the future of business through Next-Gen Intelligence - the convergence of data, AI, and human creativity to build more autonomous and adaptive organisations.
 
 
 
 Guided by our core belief - Making Data Actionable - we partner with leading companies to co-create intelligent solutions that turn data into insight, agility, and business value.
 
 
 Operating in over 25 countries, we bring together business experts, data scientists, and AI engineers to turn complexity into clarity and vision into measurable impact.
 
 
 Founded in 2000, Celfocus is part of Novabase, listed on Euronext Lisbon.
 
 
 To know more, visit www.celfocus.com
</div>

NorthBay Solutions

<div><h2 class="jobSectionHeader">Senior Data Scientist &ndash; GenAI</h2>
Experience: 5&ndash;7 Years 
Location: Cairo, Egypt (Onsite) 
Employment Type: Full-Time<h3 class="jobSectionHeader">
About the Role</h3>
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.<h3 class="jobSectionHeader">
Key Responsibilities</h3><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><h3 class="jobSectionHeader">
Technical Requirements</h3><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><h3 class="jobSectionHeader">
Preferred Qualifications</h3><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>
VOolGsiiIj</div>

Senior Data Scientist – GenAI

<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>

B LABS

<div>b_labs is the transformation and digitization arm of B.TECH, on a mission to change the industry as we know it. We spearhead tech innovation at B.TECH, an organization that has been a cornerstone of the Egyptian retail industry. We are the engine powering B.TECH in achieving its goal of becoming the leading omni-channel platform for consumer electronics and appliances in Egypt. By joining b labs, you will get to benefit from a collaborative startup environment, while also enjoying the stability of working within a company that has achieved strong growth year after year. You will be part of a visionary, customer-focused team with an ambitious mission-to become a trailblazer for digital retail within the Middle East.
Responsibilities<ul><li>
Collaborates with business partners to develop novel ways to meet objectives utilizing cutting edge techniques and tools</li><li>
Effectively communicates the analytics approach and how it will meet and address objectives to business partners</li><li>
Advocates and educates on the value of data driven decision-making focusing on the &ldquo;how and why&rdquo; of solving problems
</li><li>Leads analytic approaches, integrating work into applications and tools with data engineers, business leads, analysts and developers</li><li>
Creates repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products</li><li>
Shares passion for data science with broader enterprise community; identifies and develops long-term processes, frameworks, tools, methods and standards</li><li>
Stays connected with external sources of ideas through conferences and community engagements</li></ul> 

Requirements 
<ul><li>
Holds a degree in Data Science, Computer Science, Engineering, Statistics, Applied Mathematics</li><li>
5+ years experience as data scientist with a track record of working within high paced environments</li><li>
Experience in defining analytical approach for complex systems including several ML models
</li><li>Strong experience with Python (incl. proficiency working with data frames)</li><li>
Strong experience of writing complex SQL queries</li><li>
Strong experience with Machine Learning to solve supervised and unsupervised problems on large scale data sets</li><li>
Proven ability to merge and transform various data sets together to create new features
</li><li>Strong experience with big data technologies (Spark is required, other experiences is a plus)</li><li>
Strong experience with supporting deployment, monitoring, maintenance and enhancement of models desired</li><li>
Experience with Quality Assurance and model validation approaches</li><li>
Experience with data visualization tools preferred &ndash; Tableau, Power BI, R Shiny, Plotly, etc.</li><li>
Strong experience in agile ways of working across an interdisciplinary team</li><li>
Collaborates with Product Manager, Scrum Master, Design Lead and rest of technical team.</li>
Strong verbal and written communication skills with ability to deliver complex messages, explain trade-offs, and tell a compelling story &ndash; also for corporate stakeholders 
<li>
</li></ul> 
 
Benefits 
Office environment: When you come to our b_labs office, you'll find creative workspaces, a well-equipped kitchen, and an open design to foster collaboration between teams.
Education budget: We believe the learning journey never ends, therefore you will be entitled to an annual education budget to take part in trainings, courses or onsite conferences of your choice.
Flexibility: You know best whether you want to work from home or in the office. However, if you want to join your teammates onsite, we will subsidize the costs for lunch to foster the b_labs office community
Mobility package: When you are joining the b_labs office, we will subsidize your mobility expenses for public transport.
Equipment: From &quot;Day 1&quot; you will receive all the equipment you need be successful at work. Therefore, you can choose your laptop and get all the tools you need to stay on top of your game.</div>

Capgemini Invent

<div>
 At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.
 
 
 
 Job Description
 
 
 
 
 Machine Learning &amp; AI Solutions
 
 
 
 <ul>
 <li>
 Deploy advanced machine learning models and AI-driven solutions across cloud environments.
 </li>
 <li>
 Lead the end-to-end lifecycle of ML models, from data ingestion and feature engineering to model training, evaluation, and deployment.
 </li>
 <li>
 Monitor model performance and implement retraining strategies to ensure long-term accuracy and relevance.
 
 
 </li>
 </ul>
 
 Cloud &amp; Data Engineering
 
 
 
 <ul>
 <li>
 Architect and optimize scalable data pipelines and cloud-based infrastructures (Azure, AWS, or GCP) to support ML workloads.
 </li>
 <li>
 Collaborate with data engineers to ensure robust data preprocessing, transformation, and storage strategies.
 
 
 </li>
 </ul>
 
 MLOps &amp; Automation
 
 
 
 <ul>
 <li>
 Develop and maintain CI/CD pipelines tailored for ML workflows, including automated testing, model versioning, and deployment.
 </li>
 <li>
 Integrate monitoring and alerting systems to track model drift, data quality, and system performance.
 
 
 </li>
 </ul>
 
 Collaboration &amp; Innovation
 
 
 
 <ul>
 <li>
 Work closely with cross-functional teams including data scientists, product managers, and business stakeholders to translate business needs into technical solutions.
 </li>
 <li>
 Mentor junior engineers and contribute to knowledge sharing and best practices across the team.
 
 
 </li>
 </ul>
 
 Technical Skills
 
 
 
 <ul>
 <li>
 Strong proficiency in Python and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
 </li>
 <li>
 Strong command of SQL and experience with large-scale data processing tools (e.g., Spark, Pandas).
 </li>
 <li>
 Deep understanding of cloud platforms (Azure, AWS, GCP) and their ML services.
 </li>
 <li>
 Skilled in MLOps practices, including CI/CD, containerization (Docker), and orchestration (Kubernetes).
 </li>
 <li>
 Familiarity with Git and collaborative development workflows.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 6+ years of experience working with complex datasets and solving real-world business problems using AI
 </li>
 <li>
 Proven track record of deploying and maintaining ML models in production environments.
 
 
 </li>
 </ul>
 
 Communication Skills
 
 
 
 <ul>
 <li>
 Excellent written and verbal communication skills to collaborate effectively with cross-functional teams.
 </li>
 <li>
 Fluent in Qatari Arabic &amp; English, both spoken and written.
 
 
 </li>
 </ul>
 
 Additional Skills
 
 
 
 <ul>
 <li>
 Strong problem-solving abilities and attention to detail.
 </li>
 <li>
 Ability to work collaboratively in a team environment.
 </li>
 <li>
 Self-motivated with a continuous learning mindset.
 </li>
 <li>
 Team management.
 
 
 </li>
 </ul>
 Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
</div>

Synapse Analytics

<div><ul><li>Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions</li><li>
Mine and analyze data from client databases to drive optimization and improvement of product development, marketing techniques and business strategies</li><li>
Build, optimize and maintain machine learning models</li><li>
Assess &ldquo;health&rdquo; of new data sources and soundness of data gathering techniques employed by the client</li><li>
Process, clean, and verify the integrity of data used for analysis</li><li>
Perform ad-hoc analysis and present results in a clear manner</li></ul><ul><li> 
Experience in one or more of the following programming languages: Python, R, MATLAB, Julia</li><li>Experience in data wrangling of (messy) datasets using pandas or dplyr</li><li>Experience in exploratory data analysis</li><li>Experience in data visualization using one or more of the following packages/tools:</li></ul>
seaborn, matplotlib, plotly, ggplot, Tableau 
<ul><li>Knowledge of machine learning techniques and algorithms such as K-nearest</li></ul>
neighbors, naive bayes, support vector machines, random forest, logistic regression, etc. 
<ul><li>Awareness of machine learning concepts such as over-fitting and under-fitting, the difference between bias and variance, generalization capability of the prediction model to unseen data, feature engineering, etc.</li><li>Excellent written and verbal communication skills for coordinating across teams</li><li>A drive to learn and master new technologies and techniques</li></ul><div>
Bonus Points 
<ul><li>A Masters or PhD degree in a relevant discipline</li><li>Data engineering experience; e.g., SQL, Hadoop, Spark, cloud computing</li><li>Competitive programming experience (e.g., ACM, Topcoder, Code Forces, etc.)</li><li>Experience participating in machine learning competitions (e.g., Kaggle, Hacker Earth, etc.)</li><li>Strong statistics background</li><li>An up-to-date portfolio (on GitHub?) showing your experience in all of the above!</li></ul></div></div>

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1716 senior data scientist jobs In Egypt

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist – GenAI

Senior Data Scientist – GenAI

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist