Location
noida, uttar pradesh, India
Posted
June 19, 2026
Job Description
What You’ll Do
- Build LLM apps (RAG, prompts, agents, guardrails, evaluation)
- Own ML lifecycle: data → training (LoRA/QLoRA) → deployment → monitoring
- Deploy scalable solutions on AWS (EKS/ECS/Lambda, SageMaker, Bedrock)
- Optimize training/inference (FSDP, DeepSpeed, vector DBs, GPUs)
- Set up MLOps: CI/CD, model tracking, governance, responsible AI
- Collaborate with product/UX to deliver impactful ML solutions
- Mentor team and lead technical decisions
- Perform EDA and domain-focused data research
What You’ll Bring
Required:
- 5–8 and 7-12 yrs experience (3+ yrs in production ML systems)
- 1+ yr hands-on with LLMs (RAG, fine-tuning, prompt engineering)
- Strong AWS experience (SageMaker, Bedrock, Lambda, etc.)
- Python, PyTorch, Hugging Face, vector DBs
- MLOps (CI/CD, Docker, Kubernetes, monitoring)