Job Description

We are supporting a Bengaluru-based technology client in hiring a Principal AI Engineer for a senior hands-on AI/ML leadership role.

The client is looking for a senior AI/ML leader with deep hands-on experience in architecting, building, deploying, and scaling production-grade machine learning systems. This is a player-coach role requiring strong technical ownership, architecture depth, engineering discipline, and the ability to mentor teams while remaining close to implementation.

Key Responsibilities

Architect and build scalable production AI/ML systems and platforms
Lead model deployment, evaluation, monitoring, and scalable inference practices
Drive technical leadership across architecture, code reviews, mentoring, and engineering best practices
Build robust ML workflows across training, deployment, retraining, and continuous model improvement
Work closely with engineering, product, and leadership teams to convert AI/ML opportunities into production systems
Improve reliability, performance, and scalability of AI/ML workloads

Must-Have Experience

12+ years of experience building production ML/AI systems
Strong hands-on technical leadership experience across architecture, code reviews, mentoring, and best practices
Strong experience with Python and PyTorch/TensorFlow
Experience with model deployment, model evaluation, and scalable inference
Experience with AWS, EKS/Kubernetes, and GPU-based training or inference
Strong understanding of MLOps, production monitoring, retraining pipelines, or continuous model improvement
Experience in computer vision, OCR, document AI, image processing, or spatial AI

Good To Have

Geospatial/GIS exposure
Agentic AI systems or orchestration experience
AI-assisted engineering or agentic coding workflows
Human-in-the-loop AI systems
Experience productizing AI/ML services at scale