Principal Data Scientist - AI & Machine Learning
On-site · Cairo, Cairo, Egypt
Job Summary
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.
Required Qualifications
- 7+ years of professional experience in Data Science and Machine Learning
- MSc in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or related quantitative discipline
- Experience mentoring, coaching, or leading technical team members
- Strong foundation in ML techniques (Classification, Regression, Clustering, Association Rule Mining, Feature Engineering, Model Evaluation)
- Experience with Deep Learning frameworks
- Proficiency in Python and DS ecosystem
- Experience with ML frameworks such as Scikit-Learn, TensorFlow, Keras, PyTorch
- Experience deploying ML models in production; CI/CD, monitoring, observability
- Experience with cloud platforms (Azure, AWS, GCP) and ML services (Azure ML, AWS SageMaker, Vertex AI)
- Experience with RAG solutions, vector databases, and LLM orchestration frameworks
- Knowledge of prompt engineering, LLM optimization
- Experience with Embeddings, Vector Retrieval, Semantic Search, Fine-Tuning, LoRA
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