Mid-Senior AI Engineer_Kochi

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.