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Open nowPosted 116 days ago

Principal Data Scientist - AI & Machine Learning

Workable (global search)108,016 open roles

Where
Cairo, Egypt
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Your applicationOpen nowPrincipal Data Scientist - AI & Machine LearningWorkable (global search) · Cairo, Egypt

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The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 7 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 116 days ago

Workable (global search) median: 7 days open

The posting

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

  • 7+ years of professional experience, including 5+ years in Data Science, Machine Learning & MLOps
  • MSc in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related quantitative discipline.
  • 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)
  • Flexible work schedules
  • Perks: events, sponsored lunch, game area, rooftop hangout + more!
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