Senior AI Engineer

RoshAi; Ernakulam; On-site; INR 2,500,000 - 4,500,000; Full time

Benefits offered by this job

Health insurance

Wellness programs

Rewards & recognition

Learning & mentorship

Job summary

RoshAi in India is seeking hands-on AI Engineers with 5–8 years of experience in AI/ML, computer vision and robotics to design, develop and deploy production-grade AI solutions for industrial automation and autonomous systems.

You will own technical modules, collaborate with multidisciplinary teams, and drive end-to-end perception, planning and control components, including edge inference and sim-to-real considerations.

Qualifications

• The role requires hands-on AI/ML expertise with production-ready deployments.
• Experience in perception, tracking, segmentation and multi-modal analysis.
• Proficiency with ROS/ROS2 and real-time robotic applications.
• Strong programming in Python with DL frameworks and model pipelines.

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.

Skills

Python

PyTorch

TensorFlow

Deep learning

Computer vision

ROS/ROS2

Robotics integration

Model deployment

Edge inference

Cross-functional collaboration

Education

BE/BTech in Computer Science or related

Tools

Docker

Kubernetes

Azure

GCP

CI/CD

Job description

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.

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 orsimilar 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.
• 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.

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.

Why RoshAi?

• Lead innovative programs in AI, Robotics, and Autonomous Systems
• Shape the future of autonomous mobility and Physical AI
• Collaborate with technology leaders and global customers
• Drive innovation in AI infrastructure and real-time systems
• Be part of a high-growth deep-tech company building AI-powered solutions
• Enjoy competitive pay, performance-based increments, health insurance, wellness programs, rewards and recognition, learning and mentorship opportunities.