Key Responsibilities

• Design, develop, and deploy end-to-end ML systems for production
• Train, fine-tune, and optimize Large Language Models (GPT, LLaMA, BERT, Transformers)
• Build computer vision solutions (object detection, image recognition, video processing)
• Develop AI Agents and autonomous systems for decision‑making and task execution
• Design multi‑agent systems for complex workflows and simulations
• Implement RAG systems and conversational AI/chatbots
• Deploy and monitor models at scale with MLOps practices
• Collaborate with cross‑functional teams and mentor junior engineers

Required Skills

Experience:

• 4+ years in ML/AI engineering with production deployment experience
• Strong hands‑on experience with LLMs, NLP, and Computer Vision
• Experience building AI agents and autonomous decision‑making sys...