1,133 AI Robotics jobs in India

Company Description

Lukk Automation is a Singapore-based robotics and automation start-up committed to transforming industrial operations through intelligent engineering, integration, and innovation.

We design, source, and build smart automation solutions — combining global partnerships with in-house development to deliver reliable, cost-efficient systems tailored to our clients’ needs.

Our engineering team brings together mechanical, electrical, and software expertise to bridge the gap between imported robotics technology and local industrial applications, ensuring every solution drives real-world productivity and efficiency. By continuously exploring new technologies in robotics, AI, and smart vision, we help businesses across Southeast Asia modernize their operations and achieve measurable results.

Our mission is to make automation accessible by combining engineering expertise, innovative technology, and strong vendor partnerships

Role Description

This is a full-time on-site role for an AI Vision & Robotics Engineer , based in Chennai, India .

We’re looking for an engineer who can design, train, and deploy AI-driven perception systems for robotics and automation applications. You’ll collaborate closely with our Singapore HQ on active projects while while supporting R&D for future smart automation platforms — Lukk Vision 1.0 and Lukk Fleet 1.1 .

Key Responsibilities:

AI & Vision Development

• Develop and optimize computer vision and deep learning models for object detection, classification, and inspection.
• Work with OpenCV , TensorFlow , or PyTorch to build and deploy custom AI pipelines.
• Annotate, preprocess, and manage datasets for training and testing.
• Integrate AI models into robotics platforms through ROS2 and hardware interfaces.
• Tune lighting and camera parameters for optimal detection accuracy.

System Integration & Deployment

• Deploy AI/ML models on Jetson , NUC , or industrial PCs for edge inference.
• Collaborate with hardware, software, and automation engineers to ensure seamless integration.
• Conduct testing, calibration, and performance validation on real-world setups.
• Maintain structured documentation for algorithms, data workflows, and performance metrics.

R&D & Innovation

• Research emerging vision and AI technologies for new industrial applications.
• Propose enhancements to current vision frameworks and introduce scalable techniques for defect detection and quality control.

Cross-Functional Collaboration

• Work with the Singapore team to align modules with client requirements.
• Participate in weekly technical syncs and provide updates on project progress.
• Support field engineers remotely during deployments and commissioning.
• Travelling abroad to client sites to incoperate and establish our platform and active projects

Who we are looking for

• Bachelor’s Degree or Master’s Degree in Computer Science, Computer Vision, Artificial Intelligence, or Robotics.
• 2–4 years of hands-on experience in AI / Computer Vision / Robotics applications .
• Strong programming skills in Python with experience in OpenCV , PyTorch , or TensorFlow .
• Knowledge of object detection frameworks (YOLO, Faster R-CNN, SSD, etc.) .
• Familiar with ROS/ROS2 and robotic hardware integration.
• Understanding of camera optics, calibration, and lighting systems .
• Excellent analytical, debugging, and problem-solving skills.
• Self-driven, detail-oriented, and able to collaborate effectively with cross-border teams.

What We Offer

• Competitive salary package (₹1,10,000 – ₹1,50,000 per month).
• 5-day work week (Mon–Fri, 8:00 AM – 5:00 PM IST), (Sat, 8:30 AM - 12:00 PM, (WFH option))
• Annual performance review and growth opportunities.
• Option to travel internationally for training and project deployments
• Exposure to real-world robotics and AI projects across Singapore and Malaysia.
• Collaboration with an international team spanning software, AI, and robotics domains.
• Startup culture that encourages innovation, ownership, and hands-on contribution.

About Our Culture

We are a young and agile team of engineers and innovators.

Every team member is encouraged to take ownership, contribute ideas, and explore new technologies.

You will work closely with the management and technical divisions — giving you a direct role in the company’s growth.

Join Us

If you are passionate about technology, automation, and business growth, this is your opportunity to be part of a company building the future of robotics in Asia.

Apply now and help us build smarter, faster, and more connected industrial systems.

• Design, develop, and implement complex automation systems integrating robotics, AI/ML, and advanced control technologies.
• Lead the conceptualization and feasibility studies for new automation projects, ensuring alignment with business objectives.
• Develop and optimize robotic control algorithms, motion planning, and pathfinding strategies.
• Implement machine learning models for tasks such as predictive maintenance, quality inspection, and process optimization.
• Oversee the integration of various automation components, including PLCs, SCADA systems, sensors, and vision systems.
• Conduct thorough testing, validation, and commissioning of automated systems to ensure performance and reliability.
• Troubleshoot and resolve complex technical issues in automated environments.
• Collaborate with cross-functional teams, including software engineers, mechanical engineers, and operations personnel, throughout the project lifecycle.
• Stay abreast of the latest advancements in robotics, AI, automation technologies, and industry trends.
• Develop documentation, including design specifications, user manuals, and maintenance procedures.
• Mentor junior engineers and contribute to the team's technical growth.
• Manage project timelines, budgets, and resources effectively.
• Contribute to the continuous improvement of automation strategies and best practices.

• Master's degree in Electrical Engineering, Mechanical Engineering, Computer Science, Robotics, or a related field.
• Minimum of 8 years of experience in industrial automation engineering, with a significant focus on robotics and AI/ML integration.
• Proven experience in designing and implementing robotic systems (e.g., FANUC, KUKA, ABB).
• Strong knowledge of AI/ML concepts, algorithms, and frameworks (e.g., TensorFlow, PyTorch).
• Proficiency in programming languages commonly used in automation (e.g., C++, Python, PLC languages).
• Experience with system integration, PLCs, SCADA, and HMI development.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and collaboration abilities, with experience working in remote team environments.
• Demonstrated ability to lead projects and mentor junior engineers.
• A passion for innovation and driving technological advancements in manufacturing.

• Design, develop, and implement AI-driven algorithms for robot navigation, manipulation, and human-robot interaction.
• Integrate machine learning models into robotic systems for tasks such as object recognition, path planning, and anomaly detection.
• Develop and maintain robust simulation environments for testing and validating robotic control systems and AI algorithms.
• Collaborate with cross-functional teams, including software developers, hardware engineers, and AI researchers, to define system requirements and architecture.
• Write clean, efficient, and well-documented code in languages such as Python, C++, and ROS.
• Conduct rigorous testing and debugging of both software and hardware components.
• Analyze system performance data and identify areas for improvement.
• Stay abreast of the latest advancements in robotics, AI, machine learning, and related fields.
• Contribute to the research and development of novel robotic solutions.
• Manage project timelines and deliverables within a remote work setting.
• Document designs, processes, and research findings comprehensively.
• Mentor junior engineers and share knowledge within the team.

• Master's or Ph.D. in Mechanical Engineering, Electrical Engineering, Computer Science, Robotics, or a related field with a specialization in AI/ML.
• 5+ years of hands-on experience in robotics system development, including hardware integration, control systems, and software development.
• Strong proficiency in AI/ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn.
• Expertise in ROS (Robot Operating System) and simulation tools (e.g., Gazebo, CoppeliaSim).
• Proficient in programming languages like Python, C++, and familiarity with Linux environments.
• Solid understanding of kinematics, dynamics, motion planning, and control theory for robotic systems.
• Experience with sensor integration (cameras, LiDAR, IMUs) and data processing.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and collaboration skills, essential for a remote team environment.
• Demonstrated ability to work independently and manage complex projects.
• Experience with computer vision techniques is a plus.

• Design, implement, and deploy advanced AI/ML models for industrial robotics applications, including computer vision, reinforcement learning, and predictive maintenance.
• Develop and refine algorithms for robot perception, navigation, path planning, and object manipulation.
• Work with large datasets to train and optimize machine learning models, ensuring their robustness and accuracy.
• Collaborate closely with robotics hardware engineers and software developers to integrate AI/ML solutions into robotic systems.
• Conduct research into new AI/ML techniques and technologies relevant to industrial automation.
• Develop and maintain robust MLOps pipelines for model deployment, monitoring, and retraining.
• Write high-quality, well-documented code in languages such as Python and C++.
• Stay up-to-date with the latest advancements in AI, ML, and robotics research.
• Present findings and project updates to technical and non-technical stakeholders.
• Contribute to the overall AI/ML strategy and roadmap for our industrial robotics division.
• Mentor junior engineers and provide technical guidance on AI/ML best practices.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Robotics, or a related field.
• Minimum of 5 years of hands-on experience in developing and deploying AI/ML models.
• Strong theoretical and practical understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning), deep learning, and neural networks.
• Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with computer vision techniques and libraries (e.g., OpenCV).
• Familiarity with robotics platforms and simulation environments (e.g., ROS).
• Experience with data engineering and working with large-scale datasets.
• Strong programming skills in C++.
• Excellent analytical, problem-solving, and critical thinking abilities.
• Effective communication and collaboration skills, especially in a remote setting.
• Demonstrated ability to work independently and take initiative.

• Developing and implementing state-of-the-art machine learning algorithms for robotics applications.
• Designing and training deep learning models using frameworks like TensorFlow, PyTorch, or Keras.
• Working with large datasets for model training, validation, and testing.
• Implementing and optimizing AI/ML models for real-time performance on robotic hardware.
• Collaborating with robotics engineers to integrate AI/ML solutions into autonomous systems.
• Researching and exploring new AI/ML techniques and technologies relevant to robotics.
• Developing robust data pipelines and MLOps practices for scalable deployment.
• Evaluating model performance and identifying areas for improvement.
• Contributing to research papers, technical documentation, and patent applications.
• Participating in code reviews and ensuring high-quality software development practices.

• Lead research efforts in AI/ML for advanced robotic applications.
• Develop novel algorithms for robot perception, control, and decision-making.
• Oversee the implementation and testing of AI models on robotic platforms.
• Mentor and manage a team of research scientists and engineers.
• Collaborate with product development teams to transfer research innovations.
• Publish research results in top-tier conferences and journals.
• Define and maintain the R&D roadmap for robotics AI.
• Contribute to patent applications and intellectual property development.

• Ph.D. in Computer Science, Robotics, AI, or a related engineering discipline.
• 8+ years of relevant research experience, with a significant portion in robotics AI/ML.
• Proven track record of leading research teams and projects.
• Expertise in deep learning, reinforcement learning, computer vision, and motion planning.
• Experience with robotic operating systems (ROS) and simulation environments (e.g., Gazebo, Isaac Sim).
• Proficiency in Python, C++, and relevant ML frameworks (TensorFlow, PyTorch).
• Strong publication record in leading AI/Robotics venues.
• Excellent communication, leadership, and interpersonal skills.

• Conduct cutting-edge research in reinforcement learning, focusing on areas relevant to robotics, such as motion planning, manipulation, and human-robot interaction.
• Develop and implement novel RL algorithms, including deep RL, model-based RL, and multi-agent RL.
• Design and execute simulation experiments to train and evaluate RL agents for robotic control.
• Translate research findings into practical algorithms and software for real-world robotic platforms.
• Collaborate with robotics engineers to integrate AI solutions into robotic systems.
• Analyze and interpret experimental results, identifying key insights and areas for further investigation.
• Publish research outcomes in leading AI and robotics conferences and journals.
• Stay abreast of the latest advancements in RL, robotics, and related fields.
• Mentor junior researchers and interns, fostering a collaborative research environment.
• Contribute to the strategic direction of the AI research team.
• Develop robust simulation environments for testing and validation of RL algorithms.
• Explore applications of RL in areas like autonomous navigation, industrial automation, and service robotics.
• Work with large datasets and computational resources for training complex models.
• Ensure the ethical implications of AI in robotics are considered throughout the research process.

• Ph.D. in Computer Science, Robotics, Artificial Intelligence, or a closely related field.
• Minimum of 7-9 years of research experience in Reinforcement Learning and/or Robotics, with a strong publication record.
• Demonstrated expertise in developing and implementing deep reinforcement learning algorithms.
• Proficiency with RL frameworks (e.g., OpenAI Gym, Stable Baselines, Ray RLlib) and deep learning libraries (e.g., TensorFlow, PyTorch).
• Strong programming skills in Python and C++.
• Experience with robotics simulation platforms (e.g., Gazebo, MuJoCo, PyBullet).
• Solid understanding of control theory, state estimation, and motion planning.
• Excellent analytical, critical thinking, and problem-solving skills.
• Strong communication and presentation skills, with the ability to convey complex research to various audiences.
• Proven ability to work independently and manage research projects effectively in a remote setting.
• Experience with real-world robot deployments is a significant plus.
• Familiarity with ROS (Robot Operating System) is beneficial.

TCS Hiring ! Senior Machine Learning Engineer

Role** Senior Machine Learning Engineer

Exp - 5-7

Please read Job description before Applying

NOTE: If the skills/profile matches and interested, please reply to this email by attaching your latest updated CV and with below few details:

Name:

Contact Number:

Email ID:

Highest Qualification in: (Eg. B.Tech/B.E./M.Tech/MCA/M.Sc./MS/BCA/B.Sc./Etc.)

Current Organization Name:

Total IT Experience- 5-10

Location : Bangalore Hydeerabad

Current CTC

Expected CTC

Notice period: 30 DAY S

Whether worked with TCS - Y/N

Over 5 years of experience with machine learning, especially Recommender Systems. · Strong understanding of data processing, ML infrastructure, and DevOps/MLOps. · At least 2 years with cloud technologies (preferably AWS, AWS SageMaker). · Proficient in Python, SQL, and data modeling;

Good-to-Have · DBT is a plus. · Familiarity with Spark, Airflow, PyTorch, Scikit-learn, Pandas, and Keras.