Infobell IT

17 hours ago

Bengaluru, India Infobell IT Full time

Description :Job Description : Lead AI/ML Engineer (Generative AI & LLMs)Location : BangaloreWork Mode : OnsiteAbout the Role :We are seeking a highly skilled and experienced Lead AI/ML Engineer with deep expertise in Generative AI, Large Language Models (LLMs), and modern AI architectures. The ideal candidate will drive end-to-end AI solution development, lead complex GenAI initiatives, and mentor a team of AI engineers to deliver scalable, production-grade AI systems.Key Responsibilities :AI/ML & LLM Development :- Lead the design, fine-tuning, and optimization of Large Language Models (LLMs) for real-world enterprise applications.- Build and implement RAG (Retrieval-Augmented Generation) architectures using vector databases and advanced retrieval techniques.- Develop agent-based AI workflows using Agentic AI frameworks such as LangChain, LangGraph, AutoGPT, or similar tools.Technical Leadership :- Architect end-to-end GenAI solutions, ensuring scalability, performance, and security.- Define standards, best practices, and reusable frameworks for LLM training, deployment, and evaluation.- Provide mentorship and guidance to AI/ML engineers on model architectures, fine-tuning techniques (LoRA, PEFT, etc.), RAG pipelines, and AI & Delivery :- Work closely with product, data engineering, and cloud teams to deliver production-ready AI solutions.- Collaborate in designing data pipelines, preprocessing pipelines, and model evaluation strategies.- Ensure timely delivery of AI projects while maintaining high technical quality.MLOps & Deployment :- Oversee cloud-based AI deployments leveraging AWS, Azure, or GCP.- Implement robust MLOps workflows, enabling CI/CD for machine learning models.- Optimize model serving, monitoring, and lifecycle management.Requirements :Must Have :- 6+ years of hands-on experience in AI/ML development.- Proven expertise with LLM architectures, fine-tuning methods (LoRA, PEFT, QLoRA), and prompt engineering.- Strong experience in building RAG systems, vector search, embeddings, and retrieval frameworks.- Solid knowledge of Python, and deep learning frameworks such as PyTorch or TensorFlow.- Hands-on experience with agentic AI ecosystems and workflow automation tools.- Experience leading teams and managing full-cycle AI/ML project delivery.Good to Have :- Experience in distributed model training, quantization, and optimization techniques.- Familiarity with data engineering concepts and ETL/data pipeline design.- Strong understanding of MLOps, model deployment, and cloud-native AI solutions.Why Join Us :- Opportunity to lead cutting-edge GenAI initiatives.- Collaborative environment with strong focus on innovation.- Work on real-world, high-impact AI products at scale. (ref:hirist.tech)

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