Lead AI/ML Engineer - Generative AI
Description
Role Overview :
We are looking for a Lead AI/ML Engineer to design, develop, and deploy scalable AI solutions. The candidate will lead AI projects, mentor teams, and work on production-grade Generative AI, LLM, RAG, AI Agents, NLP, Computer Vision, and multimodal AI solutions.
Key Responsibilities :
- Lead AI/ML architecture, design, development, and deployment.
- Build GenAI/LLM applications, RAG pipelines, and AI agents.
- Work on LLM fine-tuning, prompt engineering, and model optimization.
- Develop NLP, Computer Vision, and multimodal AI solutions.
- Design MLOps pipelines and deploy models on AWS/Azure/GCP.
- Build APIs, microservices, and production AI platforms.
- Mentor AI/ML engineers and provide technical leadership.
Tech Stack :
- Python, AI/ML, GenAI, LLMs, RAG, LangChain, LangGraph, LlamaIndex, NLP, Computer Vision, PyTorch, TensorFlow, Keras, Transformers, OpenCV, YOLO, Vector Databases, MLOps, AWS, Azure, GCP, API, Microservices.
Good to Have :
- Docker, Kubernetes, FastAPI, Flask, NVIDIA Triton, Multimodal AI, Distributed Training.
Skills
- Agentic AI
- AI
- API
- AWS
- Azure
- Computer Vision
- Distributed Training
- Docker
- FastAPI
- Fine Tuning
- Flask
- GCP
- Generative AI
- Keras
- Kubernetes
- LangChain
- LangGraph
- LlamaIndex
- LLM
- Machine Learning
- Microservices
- MLOps
- NLP
- OpenCV
- Prompt Engineering
- Python
- PyTorch
- RAG
- TensorFlow
- Transformers
- Triton
- Vector Databases
- YOLO