Principal AI Engineer

PeoplePilot; Bengaluru; On-site; INR 2,200,000 - 2,800,000; Full time

Job summary

PeoplePilot is seeking a Principal AI Engineer in Bengaluru to lead hands-on AI/ML initiatives. The role requires a blend of technical ownership and leadership to build scalable production ML systems.

Ideal candidates will have over 12 years of experience, strong Python and MLOps skills, and the ability to mentor teams while remaining deeply involved in implementation.

Qualifications

• 12+ years of experience building production ML/AI systems.
• Strong hands-on technical leadership experience.
• Experience with model deployment and evaluation.

Responsibilities

• Architect and build scalable production AI/ML systems.
• Lead model deployment, evaluation, and monitoring.
• Drive technical leadership across best practices.

Skills

Python

PyTorch

TensorFlow

MLOps

AWS

GPU-based training

Tools

EKS/Kubernetes

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