Senior AI Engineer
Location: Dubai
Experience: 6+ years
Notice Period: Immediate to 25 days preferred
Key Responsibilities:
Build scalable, high-performance AI solutions from proof-of-concept to production.
Deploy and optimize AI/ML models on cloud platforms (AWS/Azure/GCP) using Kubernetes.
Work with LLMs, agentic frameworks, and knowledge graphs (Neo4j, TigerGraph).
Implement GPU inferencing pipelines for low-latency, high-throughput applications.
Establish model evaluation, monitoring, and explainability frameworks (SHAP/LIME).
Required Skills:
6+ years in AI/ML/Data Science with LLM, NLP, RAG, GraphRAG experience.
Hands-on with Python, PyTorch, TensorFlow, scikit-learn, pandas.
Experience deploying AI models in production using Kubernetes / GPU inference.
Knowledge of Reinforcement Learning, Knowledge Graphs (Neo4j/TigerGraph).
Familiarity with AI-assisted coding tools (Cursor, GitHub Copilot, Claude Code).
Preferred / Plus:
Healthcare or financial services domain experience.
Understanding of FHIR/HL7 standards for healthcare data.
Experience with multimodal AI solutions and agentic frameworks.
