Looking for candidates available in UAE only.

Interview mode - Face to Face.

JD:

Technical & Functional Skills

* 6+ years of experience in AI, machine learning, or data science, with a proven track record of delivering high-impact solutions. Leadership or mentorship experience is highly valued.

* Hands-on experience deploying and scaling machine learning models in production using Kubernetes, with a focus on performance and reliability.

* Experience with optimizing model serving, including GPU inferencing and framework-specific performance tuning.

* Deep understanding of model evaluation techniques, A/B testing, and AI explainability methods (e.g., SHAP, LIME).

* Proficiency or experience with AI-assisted development tools (e.g., Cursor, GitHub Copilot, Claude Code).

* Experience with automated testing frameworks (e.g., pytest, unittest, pydantic) and CI/CD practices for machine learning.

* Expertise in designing or utilizing Knowledge Graphs, with experience in graph databases such as TigerGraph or Neo4j.

* Familiarity with Reinforcement Learning (RL) concepts and their practical application.

* Proficiency in Python and common ML/Data Science libraries (e.g., scikit-learn, pandas, PyTorch, TensorFlow).

* Experience with LLMs, NLP techniques, and agentic frameworks (e.g., LangChain, CrewAI, Microsoft Agentic Framework, MCP, A2A ).

* Strong experience with cloud platforms (AWS, Azure, or GCP).