# Lead Data Scientist - AI & Machine Learning

> Integrant · Cairo, Egypt (Hybrid) · — · Posted 2026-06-11

**Workplace:** hybrid

**Department:** Software Development

## Description

We Are Hiring!

Integrant is looking for game changers to join our team as "Data Scientist - AI & Machine Learning" with below roles and responsibilities:

-   Use mathematics, statistics, machine learning, and artificial intelligence techniques to extract knowledge and insights from structured, semi-structured, and unstructured data.
-   Design, develop, evaluate, and deploy predictive and prescriptive machine learning models.
-   Conduct open research and experimentation to develop innovative solutions for complex client challenges.
-   Engage with clients and stakeholders to understand business needs and translate them into AI and Data Science solutions.
-   Design and implement end-to-end Machine Learning and Generative AI solutions.
-   Build and optimize Retrieval-Augmented Generation (RAG) systems and intelligent agent-based applications.
-   Develop scalable model deployment and monitoring solutions using MLOps best practices.
-   Monitor model performance, detect concept drift, and continuously improve deployed systems.
-   Collaborate with software engineering teams to productionize AI applications and ensure reliability, scalability, and maintainability.
-   Mentor and coach junior Data Scientists and Machine Learning Engineers.
-   Lead technical discussions, knowledge transfer sessions, and client-facing AI engagements.
-   Stay current with emerging AI, Machine Learning, MLOps, and Generative AI technologies and frameworks.

## Requirements

**Education & Experience**

-   10+ years of professional experience, including 7+ years in Data Science, Machine Learning & MLOps
-   MSc in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related quantitative discipline.
-   PhD is preferred, in related field.
-   Experience mentoring, coaching, or leading technical team members.

**Data Science & Machine Learning**

-   Strong foundation in Machine Learning techniques including Classification, Regression, Clustering, Association Rule Mining, Feature Engineering, and Model Evaluation.
-   Experience with Deep Learning concepts and frameworks.
-   Extensive hands-on experience with Python and the Data Science ecosystem.
-   Experience with one or more ML frameworks such as Scikit-Learn, TensorFlow, Keras, or PyTorch.
-   Experience conducting research, experimentation, and hypothesis-driven analysis.

**MLOps & Production AI**

-   Experience deploying and managing Machine Learning models in production environments.
-   Experience monitoring model performance, detecting concept drift, and driving continuous improvements.
-   Hands-on experience with MLOps practices, CI/CD pipelines, model versioning, experiment tracking, monitoring, and observability.
-   Experience deploying AI/ML solutions on cloud platforms such as Azure, AWS, GCP, or Databricks.
-   Experience with ML platforms and services including Azure ML, AWS SageMaker, or Google Vertex AI.
-   Familiarity with deployment and serving tools such as MLflow, FastAPI, and Streamlit.

**Generative AI & Agentic AI**

-   Hands-on experience building Retrieval-Augmented Generation (RAG) solutions and semantic search applications.
-   Experience working with Vector Databases such as Pinecone, Weaviate, Chroma, Milvus, or Azure AI Search.
-   Experience using LLM orchestration frameworks such as LangChain, LangGraph, or similar technologies.
-   Experience working with Agentic AI frameworks such as LlamaIndex, CrewAI, AutoGen, or equivalent.
-   Experience implementing MCP (Model Context Protocol), tool calling, and function-calling workflows.
-   Strong understanding of prompt engineering techniques and LLM optimization.
-   Experience evaluating LLM applications using frameworks such as LangSmith, RAGAS, or similar tools.
-   Experience with Embeddings, Vector Retrieval, Semantic Search, Fine-Tuning, and LoRA techniques.

Nice to Have:

**Advanced AI & Data Science**

-   Reinforcement Learning (RL)
-   Optimization techniques, including single-objective and multi-objective optimization
-   Stochastic Local Search methods
-   Knowledge Graphs and Graph Machine Learning.

**Cloud & Data Engineering**

-   Experience building large-scale data pipelines on Azure, AWS, or GCP.
-   Experience with Databricks and Apache Spark.
-   Experience with distributed data processing architectures.

**Leadership & Consulting**

-   Experience leading AI initiatives and technical strategy.
-   Experience working directly with international clients and stakeholders.
-   Experience defining AI architecture, standards, and best practices across teams.

## Benefits

-   Salary paid in USD
-   Six-month career advancing opportunities
-   Employee parking space
-   Supportive and friendly work environment
-   Premium medical insurance \[employee +family\]
-   English language development courses
-   Interest-free loans paid over 2.5 years
-   Technical development courses
-   Planned overtime program (POP)
-   Employment referral program
-   Premium location in Maadi & Nasr City
-   Social insurance
-   Opportunity to travel and work onsite with U.S. customers
-   In-house Technical and English training programs
-   Dedicated learning time (check out our [4Plus1 Program](https://www.integrant.com/toughest-problem-in-outsourced-software-development-solved/))
-   Flexible work schedules
-   Perks: events, sponsored lunch, game area, rooftop hangout + more!

## Apply

[Apply at Integrant](https://apply.workable.com/integrant/j/2E87A493A0/apply)

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