Technical Program Director – Autonomous Systems, Robotics & AI_(Kochi)

VGreen Technology Solutions (VGreenTEK); Madurai District; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

VGreen Technology Solutions (VGreenTEK) seeks a Technical Program Director/Head for Autonomous Systems, Robotics & AI in Kochi, India. The role oversees end-to-end programs spanning AI/ML, computer vision, and robotics, including autonomous systems and ADAS.

The candidate will lead cross-functional teams, own roadmaps and budgets, and drive scalable AI infrastructure, MLOps, and real-time inference across global teams, with emphasis on safety and production readiness.

Qualifications

• Lead end-to-end strategic programs across AI/ML, Computer Vision, Robotics, Autonomous Systems, ADAS and Physical AI.
• Deep Learning, Foundation Models, Transformers, GenAI, multimodal learning, reinforcement learning, multi-agent systems.
• Robotics and autonomous systems knowledge including perception, sensor fusion, SLAM/localization, motion planning and ROS/ROS2/Autoware.
• Lead multidisciplinary teams across AI/ML, CV, robotics, embedded, cloud/platform, simulation, QA, DevOps/MLOps and hardware.
• Drive scalable production AI infrastructure, multimodal data pipelines, MLOps, Azure/GCP, CI/CD, containers, orchestration, monitoring, sim-to-real, real-time inference and safety.

Skills

AI/ML

Computer Vision

Robotics

Autonomous Systems

Deep Learning

Foundation Models

Transformers

GenAI

Multimodal Learning

Reinforcement Learning

Multi-Agent Systems

ROS/ROS2

Autoware

MLOps

Azure/GCP

Job description

Title: Technical Program Director/Head - Autonomous Systems, Robotics & AI

Location: Kochi KL

Job Type: Full Time

Experience Required: 15-20 years

Required Skills:

• Lead end-to-end strategic programs across AI/ML, Computer Vision, Robotics, Autonomous Systems, ADAS and Physical AI, from architecture and planning through development, integration, validation, deployment and production scale-up.
• Strong expertise in Deep Learning, Foundation Models, Transformers, GenAI, multimodal learning, reinforcement learning, multi-agent systems, and production-scale model training, optimization and evaluation.
• Strong knowledge of robotics and autonomous systems, including perception, sensor fusion, localization/SLAM, state estimation, motion planning, low-level control, hardware-software integration, ROS/ROS2, Autoware, and Perception-Decision-Planning-Control architectures.
• Lead multidisciplinary engineering teams across AI/ML, CV, robotics, embedded, cloud/platform, simulation, QA, DevOps/MLOps and hardware, with ownership of roadmaps, budgets, capacity, risks, dependencies, releases, KPIs/OKRs and customer/partner/executive communication.
• Drive scalable production AI infrastructure and multimodal data pipelines, MLOps, Azure/GCP, CI/CD, containers, orchestration, monitoring, simulation, scenario generation, automated validation/regression, sim-to-real, real-time inference and safety-aware/fail-operational systems across globally distributed engineering organizations.