Senior AI Engineer – Robotics, AI & CV (Kochi)

VGreen Technology Solutions (VGreenTEK); Coimbatore District; On-site; INR 4,000,000 - 8,000,000; Full time

Job summary

VGreen Technology Solutions (VGreenTEK) is seeking a Senior AI Engineer for Robotics, AI & CV to lead end‑to‑end AI workstreams in a fast‑paced team. You will own model development, detection/classification tasks, and integration with robotics platforms in a production setting.

You will collaborate with AI, robotics, embedded, hardware, software and DevOps teams, applying ML pipelines, deployment, monitoring, and testing in an Agile/Scrum environment to deliver robust, safe autonomous

Qualifications

• Proficient in Python and deep learning frameworks with 5–8 years of hands‑on experience.
• Strong CV skills including OpenCV, YOLO/Faster R‑CNN/SSD, detection and segmentation.
• Experience with robotics/industrial automation, ROS/ROS2, and real‑time inference.
• Hands‑on ML pipelines, Docker/Kubernetes, cloud platforms, CI/CD, and monitoring.
• Ability to own AI modules from POC to production in Agile environments; API exposure a plus.

Skills

AI/ML

Computer Vision

Robotics & Physical AI

MLOps & Deployment

Engineering & Delivery

Job description

Senior AI Engineer - Robotics, AI & CV

Location: Kochi

Job Type: Full Time

Experience: 5+ years

Required Skills:

• AI/ML: 5-8 years of hands‑on experience in Python, PyTorch/TensorFlow, deep learning, CNNs, Transformers/ViTs, multimodal/foundation models, model training, fine‑tuning, evaluation, optimization, and production inference.
• Computer Vision: Strong experience in OpenCV, YOLO/Faster R-CNN/SSD, detection, classification, segmentation, tracking, depth estimation, image/video analytics, multi‑camera vision, calibration, 3D perception, SLAM, multi‑view geometry, and sensor fusion.
• Robotics & Physical AI: Experience integrating AI/perception with industrial robots, AMRs or autonomous systems, with knowledge of ROS/ROS2, kinematics, localization, state estimation, motion planning, control, sensors, real‑time inference, sim‑to‑real, and safety‑aware architectures.
• MLOps & Deployment: Hands‑on experience with ML pipelines, data preparation, model deployment, inference optimization, Docker, Kubernetes, Azure/GCP, MLOps, CI/CD, monitoring, simulation, synthetic data, automated testing, and performance validation.
• Engineering & Delivery: Ability to independently own AI modules from POC to production, troubleshoot and debug complex systems, perform technical estimation/code reviews/documentation, work in Agile/Scrum environments, and collaborate with AI, robotics, embedded, hardware, software and DevOps teams; full‑stack/API experience with React/Angular, Python/Node.js/Java, REST, microservices and SQL/NoSQL is a plus.