science

Arrow Electronics

<div>
 <strong>
  Position
  <br/>
  <br/>
 </strong>
 Data Scientist / Senior Machine Learning Engineer
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <strong>
  Position Overview:
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </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.
 <br/>
 <br/>
 <strong>
  Location:
  <br/>
  <br/>
 </strong>
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 <br/>
 <br/>
 <strong>
  Time Type
  <br/>
  <br/>
 </strong>
 Full time
 <br/>
 <br/>
 <strong>
  Job Category
  <br/>
  <br/>
 </strong>
 Information Technology
</div>


Data Scientist / Senior Machine Learning Engineer

LSEG

<div>
 Job Summary:
 <br/>
 <br/>
 As a Junior Data Scientist, you will assist in delivering data-driven insights and solutions under the guidance of senior data scientists. This role is focused on applying basic machine learning and data analysis techniques to assist in developing solutions that address customer needs. You will collaborate with multi-functional teams, learning from experienced professionals and helping implement data science-driven products, particularly focusing on data preparation, model implementation, and data analysis tasks.
 <br/>
 <br/>
 Role &amp; Responsibilities:
 <br/>
 <br/>
 <ul>
  <li>
   Assist in the development and deployment of machine learning models under the guidance of senior data scientists.
  </li>
  <li>
   Apply basic machine learning techniques, including data preprocessing, feature engineering, and model evaluation, to solve business problems.
  </li>
  <li>
   Collaborate with the team to gather and analyze data, ensuring data quality and consistency.
  </li>
  <li>
   Support the creation of dashboards, reports, and data visualizations to communicate findings.
  </li>
  <li>
   Work with senior team members to understand client requirements and contribute to the design and implementation of data science solutions.
  </li>
  <li>
   Perform exploratory data analysis (EDA) to understand data patterns and trends.
  </li>
  <li>
   Assist in the maintenance and updating of models and algorithms in production.
  </li>
  <li>
   Develop scripts for automating data processing tasks and workflows.
   <br/>
   <br/>
  </li>
 </ul>
 Qualifications and Experience Required:
 <br/>
 <br/>
 <ul>
  <li>
   3-5 years experience in data science, machine learning, or a related field, ideally in a financial industry or familiar with finance.
  </li>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Engineering, Data Science, or a related field.
  </li>
  <li>
   Basic understanding of machine learning algorithms and their applications.
  </li>
  <li>
   Proficiency in Python with knowledge of libraries such as Pandas, NumPy, and scikit-learn for data analysis and model building.
  </li>
  <li>
   Familiarity with SQL for querying relational databases and performing data manipulation.
  </li>
  <li>
   Understanding of data preprocessing techniques, including handling missing data, scaling, and encoding.
  </li>
  <li>
   Basic knowledge of cloud platforms (AWS, GCP, or Azure) and machine learning frameworks such as TensorFlow or PyTorch.
  </li>
  <li>
   Ability to learn quickly and apply new concepts in data science.
  </li>
  <li>
   Strong analytical and problem-solving skills, with the ability to communicate findings effectively.
  </li>
  <li>
   A passion for learning and staying updated with the latest developments in data science and machine learning.
  </li>
  <li>
   Experience with data visualization tools like Tableau, Power BI, or Matplotlib.
  </li>
  <li>
   Familiarity with NoSQL databases like MongoDB or Cassandra.
  </li>
  <li>
   Knowledge of basic NLP techniques for text data analysis.
  </li>
  <li>
   Interest in gaining exposure to deep learning frameworks like TensorFlow and PyTorch.
  </li>
  <li>
   Interest in gaining exposure to LLMs and agentic frameworks
   <br/>
   <br/>
  </li>
 </ul>
 LSEG is committed to encouraging a diverse, equitable, an inclusive work environment, ensuring equal opportunities for all employees, regardless of their background. We offer great employee benefits to make sure everyone performs to the best of their abilities. We offer a hybrid working model.
 <br/>
 <br/>
 <strong>
  Career Stage:
  <br/>
  <br/>
 </strong>
 Senior Associate
 <br/>
 <br/>
 <strong>
  London Stock Exchange Group (LSEG) Information:
  <br/>
  <br/>
 </strong>
 Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
 <br/>
 <br/>
 LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
 <br/>
 <br/>
 Our purpose is the foundation on which our culture is built. Our values of
 <strong>
  Integrity, Partnership
 </strong>
 ,
 <strong>
  Excellence
 </strong>
 and
 <strong>
  Change
 </strong>
 underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
 <br/>
 <br/>
 Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
 <br/>
 <br/>
 We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone&rsquo;s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
 <br/>
 <br/>
 You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.
 <br/>
 <br/>
 LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
 <br/>
 <br/>
 Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it&rsquo;s used for, and how it&rsquo;s obtained, your rights and how to contact us as a data subject.
 <br/>
 <br/>
 If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.
</div>


Junior Data Scientist

CEGEDIM

<div></div><div><div><div><div><ul><li>Stage, 1-2 mois</li><li>
Temps plein</li><li>
Moins de 2 ans d&rsquo;exp&eacute;rience</li><li>
BUT, Licence, Bac+3</li><li>
Informatique / Syst&egrave;mes d&rsquo;information</li></ul></div></div><div><div><p>
</p></div></div></div><div><div><div><div><h2 class="jobSectionHeader"><b>Contexte
</b></h2><div><p>Join us in building the next generation of intelligent cloud solutions. At Cegedim Academy, we're looking for passionate AI Engineering Interns to work alongside experienced mentors and talented peers on real-world AI projects. As part of the internship, you'll contribute to the design and development of AI-powered solutions integrated into our cloud products. This is a hybrid, fast-paced environment where innovation, collaboration, and continuous learning are encouraged. You'll gain hands-on experience with modern AI technologies while making meaningful contributions to production-oriented solutions.</p><p>
What You'll Do</p><ul><li>
Design and develop AI-powered solutions for cloud-based products</li><li>
Explore and implement modern NLP and Generative AI techniques</li><li>
Build, train, evaluate, and optimize machine learning and deep learning models</li><li>
Work with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems</li><li>
Integrate AI capabilities into real-world business applications</li><li>
Collaborate with fellow interns, engineers, and mentors throughout the project lifecycle</li><li>
Learn industry best practices for AI development, testing, and deployment</li></ul><p>
What We're Looking For</p>
Currently pursuing or recently completed (2025 or 2026) a degree in:<ul><li>
Computer Science</li><li>
Computer Engineering</li><li>
Artificial Intelligence</li><li>
Data Science or related fields</li></ul>
Technical Skills:<ul><li>
Strong programming skills in Python</li><li>
Hands-on experience with PyTorch or TensorFlow</li><li>
Understanding of machine learning fundamentals and model training workflows</li><li>
Interest in Natural Language Processing and Generative AI</li><li>
Familiarity with Transformers, Large Language Models (LLMs), vector databases, and RAG architectures is a plus</li></ul>
Soft Skills:<ul><li>
Strong teamwork, communication, and problem-solving skills</li><li>
Curiosity, initiative, and a willingness to learn</li><li>
Ability to work in a collaborative environment</li></ul><p>
Why Join Us?</p><ul><li>
Work on real AI challenges with business impact</li><li>
Receive mentorship from experienced professionals</li><li>
Gain practical experience with cutting-edge AI technologies</li><li>
Collaborate in a supportive and innovative environment</li><li>
Build skills that prepare you for a career in AI Engineering</li></ul></div></div><p></p><div><h2 class="jobSectionHeader"><b>
Words from our recruiter</b></h2><div><p>
BigData, Fullstack JS, NoSQL, ElasticSearch, Agile, SaaS ... do these concepts, methods and technologies speak to you? You want to practice them in a team of passionate people, whose objective is to put new technologies at the service of high value solutions that are both powerful and easy to use. Within a leading company in the health and insurance sectors, our teams develop SaaS software in web and mobile mode around topics related to the collection and analysis of health data, the detection of fraud , the observance of good practices ... for our subsidiaries in France and abroad. Like us, you are curious, dynamic, committed, you like to work in a team, your job is one of your passions, so come and join the research and development department of the Cegedim Group.</p><div><div><p>
Philippe Hamon</p>
<p>Senior VP R&amp;D Group</p></div></div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>
Localisation</b></h3><div>
EmplacementAdresse</div><p>
81 N Teseen St, Cairo, &Eacute;gypte</p></div></div></div></div></div><p></p>

AI Engineering Intern

Nagwa

<div>
 <strong>
  Summary
  <br/>
  <br/>
 </strong>
 We are looking to hire a Tutor to join us in our mission to educate the world. The successful candidate shall be responsible for conducting online sessions on &ldquo;Chemistry&rdquo; and engaging the students during the sessions and helping them prepare for the exams.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Conduct online sessions for students through Nagwa Classes application according to MoE curriculum to support the learning process
  </li>
  <li>
   Run engagement activities to ensure efficient learning outcomes and communicate with students before and after the sessions through Nagwa Classes
  </li>
  <li>
   Follow up on the student&rsquo;s progress through the assignments sent after each session through Nagwa Classes to ensure that the learning outcomes are reached
  </li>
  <li>
   Provide students with constructive feedback to help students develop their skills and subject knowledge to improve learning outcomes
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications &amp; Work Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in any relevant discipline
  </li>
  <li>
   Ability to collect, interpret, and summarize data
  </li>
  <li>
   2-4 years of relevant teaching experience
  </li>
  <li>
   Experience in differentiated instruction to deliver different learning needs and styles
  </li>
  <li>
   Previous online tutoring is a plus
  </li>
  <li>
   Proficient in Arabic
  </li>
  <li>
   Intermediate in English (or language of the subject)
  </li>
  <li>
   Having a laptop or desktop computer is a must
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Behavioural Competencies
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong communication skills in verbal and written
  </li>
  <li>
   Leadership skills
  </li>
  <li>
   Time Management
  </li>
  <li>
   Accountability and ownership
  </li>
  <li>
   Problem Solving
  </li>
  <li>
   Attention to detail
   <br/>
   <br/>
  </li>
 </ul>
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 <br/>
 icp2KxFQWW
</div>


Freelance Chemistry Tutor - Secondary

Zewail City of Science and Technology

<div><div><h3 class="jobSectionHeader"><b>Zewail City of Science, Technology &amp; Innovation</b></h3>
</div><div><div><div>Type:</div>
<div>Part Time</div>
</div><div><div>Published:</div>
<div>2026-06-10</div>
</div><div><div>Deadline:</div>
<div>2026-07-06</div>
</div><div><div>Language:</div>
<div>English</div>
</div></div><div><h3 class="jobSectionHeader"><b>Description:</b></h3>
<p>The University of Science and Technology at Zewail City of Science, Technology and Innovation is seeking Adjunct Faculty at the School of Computational Sciences and Artificial Intelligence.</p>
<h3 class="jobSectionHeader"><b>Qualifications and Courses:</b></h3>
<p>Applicants should hold a Ph.D. in a relevant area to the following specializations from a recognized highly reputable University:</p>
<ul><li>Data Science and Artificial Intelligence</li>
<li>Software Engineering</li>
<li>Cyber Security</li>
</ul><p>Applicants should possess strong academic credentials and a demonstrated commitment to teaching excellence, student engagement, and high-quality instruction.</p>
<p>Applicants should show their proficiency to teach one or more of the following courses:</p>
<ul><li>Software Project Management, Embedded Systems, Object-Oriented Analysis and Design (using Java), Software Testing, Validation, and Quality Assurance (using Java), Design and Geometric Modeling for Visualization and Communication, Visual Effects Production, Prototyping Algorithmic Experiences, Human Information Processing and Artificial Intelligence, AI Based Products and Services, User-Focused Sensing Systems.</li>
<li>Neural Networks and Deep Learning, Machine Learning, NLP, Computer Vision, Speech Recognition, Deep Reinforcement Learning, Generative AI, MLOPs, Explainable AI, LLM, Knowledge Representation &amp; Reasoning, Cloud Computing,</li>
<li>Data Mining, Information Retrieval, Data Governance, Data Integration &amp; Visualization, Big Data Analytics.</li>
<li>Cyber Security, Secure Programming, System Administration for Security, Applied Cryptography, Ethical Hacking and Penetration Testing, Digital Forensics, Malware Analysis, Network Security, Cloud Security, IOT Security, Governance, Risk and Compliance (GRC).</li>
</ul><h3 class="jobSectionHeader"><b>Program/School:</b></h3>
<p>School of Computational Sciences and Artificial Intelligence</p></div></div><p></p>

Adjunct Faculty - School of Computational Sciences and Artificial Intelligence

Integrant

<div><p>We Are Hiring!</p><p>
Integrant is looking for game changers to join our team as &quot;Data Scientist - AI &amp; Machine Learning&quot; with below roles and responsibilities:</p><p></p><ul><li>
Use mathematics, statistics, machine learning, and artificial intelligence techniques to extract knowledge and insights from structured, semi-structured, and unstructured data.
</li><li>Design, develop, evaluate, and deploy predictive and prescriptive machine learning models.
</li><li>Conduct open research and experimentation to develop innovative solutions for complex client challenges.
</li><li>Engage with clients and stakeholders to understand business needs and translate them into AI and Data Science solutions.
</li><li>Design and implement end-to-end Machine Learning and Generative AI solutions.
</li><li>Build and optimize Retrieval-Augmented Generation (RAG) systems and intelligent agent-based applications.
</li><li>Develop scalable model deployment and monitoring solutions using MLOps best practices.
</li><li>Monitor model performance, detect concept drift, and continuously improve deployed systems.
</li><li>Collaborate with software engineering teams to productionize AI applications and ensure reliability, scalability, and maintainability.
</li><li>Mentor and coach junior Data Scientists and Machine Learning Engineers.
</li><li>Lead technical discussions, knowledge transfer sessions, and client-facing AI engagements.
</li><li>Stay current with emerging AI, Machine Learning, MLOps, and Generative AI technologies and frameworks.</li></ul><br>
<b>
Requirements</b><p><b><br>
Education &amp; Experience</b></p><ul><li><ul><li>
10+ years of professional experience, including 7+ years in Data Science, Machine Learning &amp; MLOps</li><li>
MSc in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related quantitative discipline.</li><li>
PhD is preferred, in related field.
</li><li>Experience mentoring, coaching, or leading technical team members.</li></ul></li></ul><p><b>
Data Science &amp; Machine Learning</b></p><ul><li><ul><li>
Strong foundation in Machine Learning techniques including Classification, Regression, Clustering, Association Rule Mining, Feature Engineering, and Model Evaluation.</li><li>
Experience with Deep Learning concepts and frameworks.</li><li>
Extensive hands-on experience with Python and the Data Science ecosystem.</li><li>
Experience with one or more ML frameworks such as Scikit-Learn, TensorFlow, Keras, or PyTorch.</li><li>
Experience conducting research, experimentation, and hypothesis-driven analysis.</li></ul></li></ul><p><b>
MLOps &amp; Production AI</b></p><ul><li><ul><li>
Experience deploying and managing Machine Learning models in production environments.</li><li>
Experience monitoring model performance, detecting concept drift, and driving continuous improvements.</li><li>
Hands-on experience with MLOps practices, CI/CD pipelines, model versioning, experiment tracking, monitoring, and observability.</li><li>
Experience deploying AI/ML solutions on cloud platforms such as Azure, AWS, GCP, or Databricks.</li><li>
Experience with ML platforms and services including Azure ML, AWS SageMaker, or Google Vertex AI.</li><li>
Familiarity with deployment and serving tools such as MLflow, FastAPI, and Streamlit.</li></ul></li></ul><p><b>
Generative AI &amp; Agentic AI</b></p><ul><li><ul><li>
Hands-on experience building Retrieval-Augmented Generation (RAG) solutions and semantic search applications.</li><li>
Experience working with Vector Databases such as Pinecone, Weaviate, Chroma, Milvus, or Azure AI Search.</li><li>
Experience using LLM orchestration frameworks such as LangChain, LangGraph, or similar technologies.</li><li>
Experience working with Agentic AI frameworks such as LlamaIndex, CrewAI, AutoGen, or equivalent.</li><li>
Experience implementing MCP (Model Context Protocol), tool calling, and function-calling workflows.</li><li>
Strong understanding of prompt engineering techniques and LLM optimization.</li><li>
Experience evaluating LLM applications using frameworks such as LangSmith, RAGAS, or similar tools.</li><li>
Experience with Embeddings, Vector Retrieval, Semantic Search, Fine-Tuning, and LoRA techniques.</li></ul></li></ul><p>
Nice to Have:</p><p><b>
Advanced AI &amp; Data Science</b></p><ul><li>
Reinforcement Learning (RL)</li><li>
Optimization techniques, including single-objective and multi-objective optimization</li><li>
Stochastic Local Search methods</li><li>
Knowledge Graphs and Graph Machine Learning.</li></ul><p><b>
Cloud &amp; Data Engineering</b></p><ul><li>
Experience building large-scale data pipelines on Azure, AWS, or GCP.</li><li>
Experience with Databricks and Apache Spark.</li><li>
Experience with distributed data processing architectures.</li></ul><p><b>
Leadership &amp; Consulting</b></p><ul><li>
Experience leading AI initiatives and technical strategy.</li><li>
Experience working directly with international clients and stakeholders.</li><li>
Experience defining AI architecture, standards, and best practices across teams.</li></ul><br>
<b>
Benefits</b><br>
<ul>
<li>Salary paid in USD</li>
<li>Six-month career advancing opportunities</li>
<li>Employee parking space</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>Opportunity to travel and work onsite with U.S. customers</li>
<li>In-house Technical and English training programs</li>
<li>Dedicated learning time (check out our 4Plus1 Program)</li>
<li>Flexible work schedules</li>
<li>Perks: events, sponsored lunch, game area, rooftop hangout + more!</li></ul></div>

Lead Data Scientist - AI & Machine Learning

<div><p>We Are Hiring!</p><p>
Integrant is looking for game changers to join our team as &quot;Data Scientist - AI &amp; Machine Learning&quot; with below roles and responsibilities:</p><p></p><ul><li>
Use mathematics, statistics, machine learning, and artificial intelligence techniques to extract knowledge and insights from structured, semi-structured, and unstructured data.
</li><li>Design, develop, evaluate, and deploy predictive and prescriptive machine learning models.
</li><li>Conduct open research and experimentation to develop innovative solutions for complex client challenges.
</li><li>Engage with clients and stakeholders to understand business needs and translate them into AI and Data Science solutions.
</li><li>Design and implement end-to-end Machine Learning and Generative AI solutions.
</li><li>Build and optimize Retrieval-Augmented Generation (RAG) systems and intelligent agent-based applications.
</li><li>Develop scalable model deployment and monitoring solutions using MLOps best practices.
</li><li>Monitor model performance, detect concept drift, and continuously improve deployed systems.
</li><li>Collaborate with software engineering teams to productionize AI applications and ensure reliability, scalability, and maintainability.
</li><li>Mentor and coach junior Data Scientists and Machine Learning Engineers.
</li><li>Lead technical discussions, knowledge transfer sessions, and client-facing AI engagements.
</li><li>Stay current with emerging AI, Machine Learning, MLOps, and Generative AI technologies and frameworks.</li></ul><br>
<b>
Requirements</b><p><b><br>
Education &amp; Experience</b></p><ul><li><ul><li>
7+ years of professional experience, including 5+ years in Data Science, Machine Learning &amp; MLOps</li><li>
MSc in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related quantitative discipline.</li><li>
Experience mentoring, coaching, or leading technical team members.</li></ul></li></ul><p><b>
Data Science &amp; Machine Learning</b></p><ul><li><ul><li>
Strong foundation in Machine Learning techniques including Classification, Regression, Clustering, Association Rule Mining, Feature Engineering, and Model Evaluation.</li><li>
Experience with Deep Learning concepts and frameworks.</li><li>
Extensive hands-on experience with Python and the Data Science ecosystem.</li><li>
Experience with one or more ML frameworks such as Scikit-Learn, TensorFlow, Keras, or PyTorch.</li><li>
Experience conducting research, experimentation, and hypothesis-driven analysis.</li></ul></li></ul><p><b>
MLOps &amp; Production AI</b></p><ul><li><ul><li>
Experience deploying and managing Machine Learning models in production environments.</li><li>
Experience monitoring model performance, detecting concept drift, and driving continuous improvements.</li><li>
Hands-on experience with MLOps practices, CI/CD pipelines, model versioning, experiment tracking, monitoring, and observability.</li><li>
Experience deploying AI/ML solutions on cloud platforms such as Azure, AWS, GCP, or Databricks.</li><li>
Experience with ML platforms and services including Azure ML, AWS SageMaker, or Google Vertex AI.</li><li>
Familiarity with deployment and serving tools such as MLflow, FastAPI, and Streamlit.</li></ul></li></ul><p><b>
Generative AI &amp; Agentic AI</b></p><ul><li><ul><li>
Hands-on experience building Retrieval-Augmented Generation (RAG) solutions and semantic search applications.</li><li>
Experience working with Vector Databases such as Pinecone, Weaviate, Chroma, Milvus, or Azure AI Search.</li><li>
Experience using LLM orchestration frameworks such as LangChain, LangGraph, or similar technologies.</li><li>
Experience working with Agentic AI frameworks such as LlamaIndex, CrewAI, AutoGen, or equivalent.</li><li>
Experience implementing MCP (Model Context Protocol), tool calling, and function-calling workflows.</li><li>
Strong understanding of prompt engineering techniques and LLM optimization.</li><li>
Experience evaluating LLM applications using frameworks such as LangSmith, RAGAS, or similar tools.</li><li>
Experience with Embeddings, Vector Retrieval, Semantic Search, Fine-Tuning, and LoRA techniques.</li></ul></li></ul><p>
Nice to Have:</p><p><b>
Advanced AI &amp; Data Science</b></p><ul><li>
Reinforcement Learning (RL)</li><li>
Optimization techniques, including single-objective and multi-objective optimization</li><li>
Stochastic Local Search methods</li><li>
Knowledge Graphs and Graph Machine Learning.</li></ul><p><b>
Cloud &amp; Data Engineering</b></p><ul><li>
Experience building large-scale data pipelines on Azure, AWS, or GCP.</li><li>
Experience with Databricks and Apache Spark.</li><li>
Experience with distributed data processing architectures.</li></ul><p><b>
Leadership &amp; Consulting</b></p><ul><li>
Experience leading AI initiatives and technical strategy.</li><li>
Experience working directly with international clients and stakeholders.</li><li>
Experience defining AI architecture, standards, and best practices across teams.</li></ul><br>
<b>
Benefits</b><br>
<ul>
<li>Salary paid in USD</li>
<li>Six-month career advancing opportunities</li>
<li>Employee parking space</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>Opportunity to travel and work onsite with U.S. customers</li>
<li>In-house Technical and English training programs</li>
<li>Dedicated learning time (check out our 4Plus1 Program)</li>
<li>Flexible work schedules</li>
<li>Perks: events, sponsored lunch, game area, rooftop hangout + more!</li></ul></div>

Principal Data Scientist - AI & Machine Learning

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