Lead AI/ML Engineer

• 6–10 years of experience in AI/ML development and deployment. 

• Strong expertise in supervised and unsupervised learning techniques, includingregression, classification, clustering, SVMs, and neural networks.Generative AI & LLMs 

• Hands-on experience with LLM training, fine-tuning, prompt engineering, andoptimization. 

• Experience building GenAI applications such as chatbots, AI assistants, anddocument intelligence systems.NLP & Computer Vision 

• Strong experience in Natural Language Processing and Computer Vision. 

• Hands-on expertise with Transformers, OpenCV, YOLO, and R-CNN architecture.AI Agents & Frameworks 

• Experience with multi-agent frameworks such as LangChain, LangGraph, andLlamaIndex.Deep Learning Frameworks 

• Proficiency in PyTorch, TensorFlow, or Keras.Programming 

• Strong programming skills in Python with experience in API development andmicroservices.Cloud & AI Infrastructure 

• Experience deploying AI models on AWS, Azure, or Google Cloud Platform. 

• Familiarity with MLOps pipelines, model serving, and AI lifecycle management.Vector Databases 

• Hands-on experience with vector databases such as FAISS, Pinecone, ChromaDB, orWeaviate.Performance Optimization 

• Experience optimizing LLM inference for speed, cost, and memory efficiency. 

• Proven ability to lead AI projects and mentor engineering teams. 

• Strong communication skills with the ability to translate business requirements intoAI solutions.

• Experience with multimodal AI (text, image, video, speech). 

• Familiarity with Docker, Kubernetes, and containerized AI deployment.• Experience with model serving frameworks such as FastAPI, Flask, or NVIDIA Triton. 

• Exposure to distributed training and large-scale model training pipelines.

Qualifications:ME (IT, Computer), BE (IT, Computer), MCA, MSC-IT, BCA