Senior Data Scientist

We are building scalable, production-grade AI systems and are looking for a Senior Data Scientist to join our teamat Watan first solution.

What You’ll Be Doing

• Build and optimize production-grade LLM applications
• Design and implement advanced RAG systems
• Develop AI agents and tool-integrated workflows
• Fine-tune LLMs, including SFT, LoRA/PEFT, and apply knowledge distillation for model optimization and performance improvement
• Deploy and manage open-source LLMs (e.g., LLaMA, Qwen, Mistral) using vLLM for high-performance inference
• Implement end-to-end LLMOps practices, including deployment, monitoring, evaluation, cost optimization, and orchestration of ML/LLM services in Kubernetes environments
• Build scalable Python backend services
• Translate business problems into robust, production-ready AI solutions

What We’re Looking For

• Bachelor’s/Master’s in Computer Science, AI, Engineering, or equivalent experience
• 5+ years of experience in Data Science / Applied AI
• Deep expertise in modern ML techniques, especially LLMs, deep learning, and foundation models
• Strong experience building and deploying LLM-based systems in production
• Strong knowledge of advanced RAG systems
• Experience designing multi-agent systems using MCP for structured communication and orchestration
• Hands-on experience in Instruction Fine-Tuning (IFT), including dataset preparation and alignment for instruction-following and tool-use models
• Hands-on experience in fine-tuning LLMs and knowledge distillation
• Ability to research cutting-edge academic papers and implement state-of-the-art solutions across different use cases
• Experience with function calling, structured outputs, and API integrations
• Strong backend engineering experience in Python
• Familiarity with TensorFlow, PyTorch, scikit-learn, Keras, or similar frameworks
• Experience deploying ML services using Kubernetes
• Strong problem-solving skills and ability to translate business challenges into AI solutions

Nice to Have

• Experience with cloud platforms (AWS, Azure, GCP, or similar)
• CI/CD and production monitoring experience
• Familiarity with LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar frameworks