Senior AI ML Engineer
Summary
Build and deploy AI systems including LLMs, computer vision, and autonomous agents using Python, PyTorch, and LangChain, then productionize them with MLOps on cloud platforms.
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