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

Oorwin AI; Thiruvananthapuram; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

Oorwin AI in Kochi seeks a Senior AI Engineer specializing in robotics, computer vision and AI systems. You will design and integrate AI modules for industrial robotics and autonomous platforms, from prototyping to production.

You will work with cross-disciplinary teams, own end-to-end delivery of AI solutions, optimize models for real-time perception, and implement robust ML pipelines with Docker, Kubernetes and cloud deployments.

Qualifications

• 5+ years hands-on experience in AI/ML including model training and deployment.
• Deep learning, CNNs, Transformers/ViTs, multimodal/foundation models.
• Strong CV with OpenCV, YOLO/SSD, 3D perception and SLAM.
• Robotics: ROS/ROS2, localization, motion planning, real-time inference.
• MLOps: Docker/Kubernetes, cloud platforms, CI/CD, monitoring.

Skills

AI/ML

Computer Vision

Robotics & AMRs

MLOps & Deployment

Full-stack/API

Job description

Job Id : OOJ - 2082

Posted Date : 28/09/2026

Experience : 5-15

Job Type : Permanent

Overview :

Title: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.