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 systems
Technical:
- Languages: Python
- Frameworks: TensorFlow, PyTorch, scikit-learn
- LLM/NLP: GPT, LLaMA, BERT, prompt engineering
- AI Agents: LangChain, LangGraph, AutoGen, agentic workflows
- Computer Vision: Image processing, object detection, GANs
- Cloud: AWS/Azure/GCP
- MLOps: Docker, Kubernetes, MLflow, CI/CD
- Data: SQL, distributed systems