Lead AI Model Deployment Engineer

Job Title : Senior Full-Stack AI / ML Engineer – Vision Analytics, LLMs & Hybrid Deployment

Location : Pune from KBL Baner Pune Office

Department : Corporate Information Centre (CIC)

Role Overview

As a Senior Full-Stack AI / ML Engineer at KBL, you will play a key role in developing and deploying intelligent systems that enhance operational efficiency, quality assurance, and customer experience. You will work on a range of use cases from vision-based quality inspection and predictive maintenance to LLM-driven document understanding and automation .

This role requires strong technical depth, independent ownership, and the ability to collaborate with cross-functional teams across engineering, IT, and business domains.

Key Responsibilities

• Lead the design, development, and deployment of AI / ML models across vision, language, and prediction use cases
• Develop and implement solutions using LLMs (e.G., LLaMA, Azure OpenAI) and Computer Vision frameworks (OpenCV, PyTorch, YOLO, etc.)
• Architect hybrid deployment models using Azure cloud and on-premises infrastructure , ensuring high availability and scalability
• Collaborate with internal stakeholders using design thinking to convert business needs into AI solutions
• Develop end-to-end ML pipelines (ETL, training, evaluation, inference, monitoring)
• Optimize performance of models for real-time inference and resource efficiency (GPU / CPU)
• Ensure best practices in CI / CD, containerization (Docker / Kubernetes), and model lifecycle management
• Support internal teams with documentation, training, and handover of AI tools and platforms

Required Qualifications & Experience

M.Tech preferred

Desirable Skills (Good to Have)

Soft Skills & Role Readiness

Supplier Responsibilities