Role Overview We are seeking an innovative and passionate Machine Learning Engineer specializing in Computer Vision to design, develop, and deploy cutting-edge computer vision models and algorithms for real-world robotic applications. In this role, you will work alongside a talented team to leverage state-of-the-art deep learning techniques to solve complex vision problems, from object detection to image segmentation and 3D perception. Your contributions will have a direct impact on shaping the future of intelligent systems in robotics. This position is on-site in Pune and requires immediate availability. Please apply only if you are available to join within one month. Essential Qualifications Educational Background - B.Tech., B.S., or B.E. in CSE, EE, ECE, ME, Data Science, AI, or related fields with ≥ 2 years of hands-on experience in Computer Vision and Machine Learning. - M.S. or M.Tech. in the same disciplines with ≥ 2 years of practical experience in Computer Vision and Python programming. Technical Expertise - Strong experience developing deep learning models and algorithms for computer vision tasks (e.g., object detection, image classification, segmentation, keypoint detection). - Proficiency with Python and ML frameworks such as PyTorch , TensorFlow , or Keras . - Experience with OpenCV for image processing and computer vision pipelines. - Solid understanding of convolutional neural networks (CNNs) and other vision-specific architectures (e.g., YOLO, Mask R-CNN, EfficientNet , etc.). - Ability to build, test, and deploy robust models with PyTest or PyUnit testing frameworks. - Hands-on experience with data augmentation, transformation, and preprocessing techniques for visual data. - Familiarity with version control using Git . Desirable Skills Experience with 3D vision , stereo vision , or depth sensing technologies. Familiarity with ROS2 for integrating vision systems into robotic platforms. Understanding of sensor fusion techniques, including LiDAR, depth cameras, and IMUs. Exposure to MLOps for deploying and maintaining computer vision models in production environments. Knowledge of CMake for building and integrating machine learning and vision-based solutions. Experience working with cloud-based solutions for computer vision, including cloud inference services. Ability to work with CUDA , GPU-accelerated libraries , and distributed computing environments. Location On-site in Pune , India. Immediate availability required. Why Join Us? Shape the future of robotics and AI, focusing on state-of-the-art computer vision applications. Work in a dynamic and collaborative environment with a team of highly motivated engineers. Competitive salary and benefits package, along with performance-based incentives. Opportunities for growth and professional development, including mentorship from industry experts. If you're passionate about combining deep learning and computer vision to build intelligent systems that perceive and interact with the world, we want to hear from you!

We are looking for an enthusiastic AI & Robotics Intern to work on integrating Large Language Models (LLMs) and Vision-Foundation Models (VFMs) with robotic systems. You’ll contribute to developing intelligent behaviors in ROS 2-based robots using GPT, CLIP, and similar models. This role involves prototyping, prompt engineering, and real-time system testing. A great opportunity to explore cutting-edge AI in real-world robotics. Requirements Proficient in Python and familiar with deep learning frameworks (e.g., PyTorch or TensorFlow) Basic understanding of LLMs, transformer models, or vision-language models (e.g., CLIP, SAM) Exposure to ROS 2 through coursework, projects, or self-learning Strong interest in robotics, AI integration, and real-world problem solving Good analytical skills and ability to work independently Familiarity with tools like Gazebo, RViz, or model APIs (e.g., OpenAI, HuggingFace) is a plus Prior experience in AI/robotics projects (academic or personal) is a bonus Eagerness to learn and contribute in a collaborative, fast-paced environment Benefits Opportunity to work on cutting-edge AI applications in robotics using LLMs and VFMs Mentorship from experienced robotics and AI engineers Access to state-of-the-art tools and simulation environments (e.g., ROS 2, Gazebo, Jetson) Competitive Monthly stipend Chance to receive a Pre-Placement Offer (PPO) based on performance Build a strong project portfolio that stands out in both academia and industry

Are you passionate about turning virtual test-beds into real-world robotic wins? Join us as a Gazebo Simulation Intern and help build high-fidelity environments that accelerate robot development and deployment. What you’ll do Design, build and optimize Gazebo / Ignition simulations for mobile and manipulator robots running ROS 2. Craft accurate digital twins of sensors, actuators and complex environments (LiDAR, depth cameras, IMUs, conveyor lines, etc.). Develop physics plugins, custom controllers and ROS 2 nodes to stress-test perception, navigation and manipulation stacks. Automate CI/CD pipelines so every code change is validated in simulation before hitting real hardware. Work closely with robotics & AI engineers to ensure sim-to-real parity and shorten iteration cycles Requirements Hands-on experience with Gazebo (or Ignition) , URDF/XACRO and ROS 2 via projects, coursework or personal builds. Proficient in Python or C++ ; comfortable writing modular launch files and plugins. Solid grasp of rigid-body dynamics, kinematics and sensor-noise modelling. Confident on Linux; familiar with Git, CMake/colcon and containerized dev setups. Analytical mindset, self-driven and able to debug tricky sim artifacts under tight timelines. Nice-to-haves: MoveIt, Nav2, RViz, NVIDIA Isaac Sim, Webots or Unity simulators; basic exposure to LLMs/Vision-Foundation Models and prompt engineering. Benefits Competitive monthly stipend. Pre-Placement Offer (PPO) potential based on performance. Build a standout portfolio of Gazebo worlds, plugins and automated test pipelines.