Mid-Senior AI Engineer_Kochi

VGreen Technology Solutions (VGreenTEK); Coimbatore District; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

VGreen Technology Solutions (VGreenTEK) is seeking a hands-on Mid-Senior AI Engineer with 5+ years of experience in AI/ML, computer vision and robotics for industrial automation and autonomous systems. The role focuses on designing, developing, integrating and deploying production-grade AI solutions and owning technical modules.

You will collaborate with multidisciplinary teams, optimize inference for edge and real-time use, and deliver perception, decision and control components with robust

Qualifications

• Bachelor/Master in a relevant field with strong AI/ML fundamentals.
• Hands-on experience deploying production AI solutions.
• Experience with robotics integration and ROS/ROS2.
• Strong debugging and cross-functional collaboration.

Responsibilities

• Design, train, optimize and deploy AI/ML models for industrial automation and robotics.
• Develop real-time perception solutions for detection, tracking, segmentation.
• Integrate AI models with robots, sensors and automation systems.
• Optimize inference for edge and real-time use.
• Collaborate with robotics, embedded, hardware and software teams.
• Own modules from validation to delivery milestones.

Skills

Python

PyTorch/TensorFlow

Computer Vision

Robotics integration

Edge inference

ML deployment

Education

B.E./B.Tech in CS/EE

M.E./M.Tech in related

Tools

ROS/ROS2

OpenCV

YOLO/ViT

Docker

Kubernetes

CUDA

Job description

Job Title - Mid-Senior AI Engineer - Robotics Artificial Intelligence Computer Vision

Experience: 5-8 years

Level: Mid-Senior

Job Brief

We are seeking hands‑on AI Engineers with 5-8 years of experience in AI/ML, computer vision and robotics. The role focuses on designing, developing, integrating and deploying production‑grade AI solutions for industrial automation and autonomous systems. Candidates should independently own technical modules and work effectively with multidisciplinary engineering teams.

Key Responsibilities

• Design, train, optimize and deploy AI/ML models for industrial automation, vision and robotics applications.
• Build real‑time perception solutions for detection, tracking, segmentation and multimodal analysis.
• Integrate AI models with robots, sensors, cameras and industrial automation systems.
• Develop perception‑decision‑planning‑control components and optimize inference for edge and real‑time use.
• Collaborate with robotics, embedded, hardware, software and platform teams.
• Own technical modules, simulation‑based validation, troubleshooting and delivery milestones.

Mandatory Skills

• Python, PyTorch or TensorFlow, and deep learning
• Computer vision, OpenCV and real‑time object detection
• Model training, optimization and deployment
• Robotics integration and ROS/ROS2
• Demonstrated delivery of production‑grade AI solutions
• Strong debugging, problem‑solving and cross‑functional collaboration.

Required Technical Skill Set

Artificial Intelligence & Machine Learning

• Hands‑on experience with deep learning, CNNs, Transformers, Vision Transformers, multimodal learning and foundation models.
• Model training, fine‑tuning, evaluation and production inference using Python and PyTorch/TensorFlow.
• Knowledge of reinforcement learning, multi‑agent systems and self‑supervised learning.

Computer Vision & Perception

• Hands‑on experience with detection, classification, segmentation, tracking, depth estimation and image/video analytics.
• Experience with YOLO, OpenCV, Faster R‑CNN, SSD, Vision Transformers and multi‑camera vision.
• Knowledge of calibration, 3D perception, SLAM, multi‑view geometry and sensor fusion.

Robotics & Autonomous Systems

• Experience integrating perception and AI with industrial robots, autonomous mobile robots or similar platforms.
• Knowledge of ROS/ROS2, kinematics, localization, state estimation, motion planning and control.
• Understanding of sensors, hardware‑software integration and real‑time robotic applications.

AI Infrastructure, Data & Simulation

• Experience with data preparation, ML pipelines, model deployment and inference optimization.
• Working knowledge of Docker, Kubernetes, Azure/GCP, MLOps, CI/CD and monitoring.
• Experience with simulation, synthetic data, automated testing and performance validation.

Engineering Delivery & Technical Collaboration

• Ability to deliver assigned AI/ML modules from proof of concept through production.
• Experience with Agile/Scrum, technical estimation, code review, debugging and documentation.
• Effective collaboration across AI, robotics, embedded, full‑stack and DevOps teams.

Physical AI & Embodied Intelligence

• Experience with perception, decision‑making, planning and control in robotic or autonomous systems.
• Understanding of sim‑to‑real transfer, domain randomization, real‑time inference and safety‑aware architectures.

Full Stack Development

• Good to have experience in React/Angular, Python/Node.js/Java, REST APIs, microservices and SQL/NoSQL databases.

Required Qualifications

• B.E./B.Tech/M.E./M.Tech/MS in Computer Science, Artificial Intelligence, Robotics, Electronics, Electrical Engineering, Mechatronics or a related discipline.