Job Description: - About us: Muks Robotics design and develop AI powered general purpose self-sustainable autonomous robots with the power of thinking, imagination, planning and capable of performing tasks to reduce pain and sufferings of humanity. We have introduced “Spaceo ™ ”* and “Muks® B1 AGI NPU”* as a mainstream products. Company LinkedIn: https://www.linkedin.com/company/muks/posts/?feedView=all Company Website: https://muksrobotics.com/ Responsibilities: Train the model on the pre-processed data using an appropriate training algorithm, adjust the model parameters to minimize the error or loss. Work with our engineering team to understand the business problem, and define the input data, output data, and performance metrics for the model. Skill - Machine Learning, Python, Generative AI, NLP, LLM. Education: - BE, B.Tech Computer or any IT candidate preferred. Job Type: Internship (Work from office) Contract length: 6 months or will be offered PPO or Full time Job opportunity as per performance. Location: Baner, Pune. Note: Preference to Bachelors completed candidate(s). No. of Opening(s): 2 Apply on: hr@muksrobotics.com , komalmukshr@gmail.com with subject line "Application for Generative AI/ML Internship with name" Job Type: Internship Contract length: 6 months Schedule: Day shift Ability to commute/relocate: Baner, Pune, Maharashtra: Reliably commute or planning to relocate before starting work (Required) Work Location: In person
Job Title: Robotics Engineer Preferred: Male Company Name: Muks Robotics- The AI Robotics Company Location: Baner, Pune. About Us: Muks Robotics is a pioneering company at the forefront of robotic automation solutions. We specialize in developing cutting-edge robotics technology to optimize manufacturing processes across various industries. Our mission is to revolutionize the way businesses operate through innovative automation solutions that improve efficiency, productivity, and safety. Job Description: We are seeking a talented Robotics Engineer to join our innovative team. As a Robotics Engineer, you will play a key role in designing, developing, and implementing robotic systems to solve complex challenges. You will work closely with cross-functional teams to deliver cutting-edge robotic solutions that enhance efficiency, productivity, and safety. Responsibilities: Test and validate system components to ensure they function correctly and meet client requirements. Implement robotic systems based on detailed specifications and designs provided by the engineering team. Lead the assembly of robotic components to build cohesive and functional systems. Conduct comprehensive testing of robotic systems to ensure optimal performance and reliability. Identify, diagnose, and rectify bugs and issues within software, mechanical, and electrical components of robotic systems. Collaborate closely with cross-functional teams to ensure seamless integration and functionality of all system components. Provide ongoing support and maintenance for existing robotic systems, including regular updates and enhancements. Keep abreast of the latest advancements in robotics technology to suggest and implement improvements to current systems. Requirements: · Embedded Systems: Proficient with controllers such as Arduino, Raspberry Pi, and STM32. · Programming Languages: Strong coding skills in C, C++, and Python. · Motor Control: Extensive knowledge of DC motors, stepper motors, and servo motors, including driver integration. · Sensor Integration: Familiarity with Lidar, ultrasonic sensors, encoders, lasers, and other sensors. · Project Experience: Hands-on experience in delivering complex robotics projects. · Robotics Applications: Worked on various projects, including guided vehicles, drones, robotic arms, and humanoids. ROS1, ROS2 Communication protocols Rs485, i2c, spi, Python, c++ Understanding of microcontrollers Various sensor integration Preferred Qualifications: Batchelors’s/ Master’s degree in Robotics, Electrical Engineering, or related field · Strong educational background. (In 10th, 12th/Diploma, Graduation, Master’s degree candidate should have minimum 70%). · Hands-on experience with robotic platforms such as Guided vehicles, Robotic Arms, Drones, Humanoid Robots. Knowledge of machine learning and artificial intelligence techniques applied to robotics. Experience with ROS (Robot Operating System) and ROS-based frameworks. Experience: 1-2+ yrs Pay scale: 4-6LPA How to Apply: If you are passionate about robotics and automation and eager to join a dynamic team that is shaping the future of manufacturing, we want to hear from you! Please submit your resume and cover letter on Email hr@muksrobotics.com Join Muks Robotics and be a part of our mission to transform industries through innovative automation solutions! Regard(s), Muks Robotics AI Pvt Ltd. hr@muksrobotics.com 797281 9781 Job Type: Full-time Pay: ₹400,000.00 - ₹600,000.00 per year Schedule: Day shift Application Question(s): Do you have your own vehicle and driving license? Experience: total work: 3 years (Required) Language: English (Required) Location: Pune District, Maharashtra (Required) Willingness to travel: 50% (Required) Work Location: In person
Job Title: Mechanical Intern Location: Pune, Maharashtra Company: Muks Robotics AI Pvt. Ltd. Duration: 6 Months (with possibility of extension or full-time offer) Department: Engineering / Product Development About Us: Muks Robotics AI Pvt. Ltd. is a forward-thinking robotics company dedicated to building intelligent, efficient, and cutting-edge robotic solutions for diverse industries. We focus on innovation, practical application, and pushing the boundaries of automation and AI-driven robotics. Role Overview: We are seeking a highly motivated and detail-oriented Mechanical Intern to support our engineering team in the design, development, and testing of robotic systems and components. This internship is an excellent opportunity to gain hands-on experience in a fast-paced, tech-driven environment. Key Responsibilities: Assist in the design and prototyping of mechanical parts and assemblies using CAD software (Creo, SolidWorks, AutoCAD, etc.) Participate in product assembly, testing, and troubleshooting of robotic systems Support fabrication, machining, and 3D printing tasks Conduct research and benchmarking of components and materials Collaborate with the electrical and software teams for integration and system testing Prepare documentation, BOMs (Bill of Materials), drafting, vendor follow-up Ensure compliance with mechanical safety and quality standards Required Skills & Qualifications: Pursuing B.E./B.Tech or Diploma in Mechanical Engineering or related field Basic understanding of mechanical systems, robotics, and manufacturing processes Proficiency in CAD software (Solidworks preferred) Basic knowledge in Part Design, Assembly, Compact design practices Basics knowledge of engineering calculations, Weight distribution, Thermodynamics, Mechanics Strong analytical and problem-solving skills Good communication and teamwork abilities Eagerness to learn and contribute to real-world engineering challenges Preferred (but not mandatory): Experience with hands-on tools, workshop work, or mechanical fabrication Exposure to robotics, automation projects, or mini-projects Knowledge of materials and production methods What We Offer: Opportunity to work on live robotics projects Mentorship from experienced engineers Exposure to cross-functional product development A creative, dynamic, and collaborative work environment Job Type: Internship Contract length: 6 months Work Location: In person
Job Title: Senior Computer Vision Engineer (On-site) Location: Baner, Pune (Maharashtra) No. of Openings: 02 Experience: 2+ years Company: Muks Robotics AI Pvt. Ltd. Department: Computer Vision Department Travel: May require travel to client sites About Us: Muks Robotics AI Pvt. Ltd. is a forward-thinking robotics company dedicated to building intelligent, efficient, and cutting-edge robotic solutions for diverse industries. We focus on innovation, practical application, and pushing the boundaries of automation and AI-driven robotics. About the Role: We are seeking a Senior Computer Vision Engineer to lead the design, optimization, and deployment of advanced vision-based solutions for real-time, production-grade environments. This role involves hands-on development and mentoring, focusing on applications such as object detection, motion tracking, segmentation, OCR, pose estimation, and anomaly detection - from concept to deployment on edge or server platforms. Candidates will work with state-of-the-art models, architectures, and frameworks to deliver high-performance solutions. Key Responsibilities: ● Lead the development of computer vision pipelines for detection, tracking, segmentation, recognition, and measurement tasks. ● Build and optimize solutions for OCR, human pose estimation, activity recognition, and anomaly/defect detection using SOTA models and architectures. ● Train, evaluate, and fine-tune deep learning models for high accuracy and performance. ● Work with modern CV architectures such as YOLOv8/v9, Detectron2, Mask R-CNN, Faster R-CNN, EfficientDet, SegFormer, Swin Transformer, OpenPose, HRNet, Vision Transformers (ViT), UNet, DeepLabv3+, and SAM . ● Implement OCR solutions using architectures like PaddleOCR, CRNN, Transformer-based text recognition models . ● Manage data collection, cleaning, labeling, and augmentation strategies. ● Optimize systems for real-time deployment and high-performance processing. ● Integrate solutions on embedded platforms, edge devices, and servers. ● Conduct benchmarking, testing, and ensure quality assurance of vision systems. ● Process live video streams and refine pipelines for efficiency and scalability. ● Collaborate with hardware, firmware, and backend teams to deliver end-to-end solutions. ● Mentor junior engineers and maintain detailed documentation of algorithms, experiments, and deployment workflows. Required Skills & Qualifications: ● Bachelor’s or Master’s degree in Computer Science, AI/ML, Electronics, or a related field. ● Minimum 2 years of hands-on experience in computer vision development. ● Strong programming and algorithm design skills (Python preferred). ● Proven experience in object detection, segmentation, OCR, pose estimation, and anomaly detection. ● Experience deploying AI models on edge or server environments. ● Expertise in real-time video data processing and high-performance computation. ● Familiarity with SOTA architectures and frameworks for CV applications. ● Leadership experience in guiding projects or mentoring junior team members. ● Willingness to travel as required. Nice to Have: ● Experience with multi-threaded or distributed processing. ● Understanding of industrial communication protocols. ● Background in automation, safety monitoring, or real-time analytics. What We Offer: ● Opportunity to work on high-impact AI systems ● Collaborative, innovation-focused workplace ● Growth opportunities in a rapidly expanding tech company. ● Competitive salary and performance-based incentives. To Apply: Send your resume and portfolio (if any) to hr@muksrobotics.com with the subject line: “Application for Senior Computer Vision Engineer – [Your Name]” Job Type: Full-time Work Location: In person
Job Title: Senior Computer Vision Engineer (On-site) Location: Baner, Pune (Maharashtra) No. of Openings: 02 Experience: 2+ years Company: Muks Robotics AI Pvt. Ltd. Department: Computer Vision Department Travel: May require travel to client sites About Us: Muks Robotics AI Pvt. Ltd. is a forward-thinking robotics company dedicated to building intelligent, efficient, and cutting-edge robotic solutions for diverse industries. We focus on innovation, practical application, and pushing the boundaries of automation and AI-driven robotics. About the Role: We are seeking a Senior Computer Vision Engineer to lead the design, optimization, and deployment of advanced vision-based solutions for real-time, production-grade environments. This role involves hands-on development and mentoring, focusing on applications such as object detection, motion tracking, segmentation, OCR, pose estimation, and anomaly detection - from concept to deployment on edge or server platforms. Candidates will work with state-of-the-art models, architectures, and frameworks to deliver high-performance solutions. Key Responsibilities: ● Lead the development of computer vision pipelines for detection, tracking, segmentation, recognition, and measurement tasks. ● Build and optimize solutions for OCR, human pose estimation, activity recognition, and anomaly/defect detection using SOTA models and architectures. ● Train, evaluate, and fine-tune deep learning models for high accuracy and performance. ● Work with modern CV architectures such as YOLOv8/v9, Detectron2, Mask R-CNN, Faster R-CNN, EfficientDet, SegFormer, Swin Transformer, OpenPose, HRNet, Vision Transformers (ViT), UNet, DeepLabv3+, and SAM . ● Implement OCR solutions using architectures like PaddleOCR, CRNN, Transformer-based text recognition models . ● Manage data collection, cleaning, labeling, and augmentation strategies. ● Optimize systems for real-time deployment and high-performance processing. ● Integrate solutions on embedded platforms, edge devices, and servers. ● Conduct benchmarking, testing, and ensure quality assurance of vision systems. ● Process live video streams and refine pipelines for efficiency and scalability. ● Collaborate with hardware, firmware, and backend teams to deliver end-to-end solutions. ● Mentor junior engineers and maintain detailed documentation of algorithms, experiments, and deployment workflows. Required Skills & Qualifications: ● Bachelor’s or Master’s degree in Computer Science, AI/ML, Electronics, or a related field. ● Minimum 2 years of hands-on experience in computer vision development. ● Strong programming and algorithm design skills (Python preferred). ● Proven experience in object detection, segmentation, OCR, pose estimation, and anomaly detection. ● Experience deploying AI models on edge or server environments. ● Expertise in real-time video data processing and high-performance computation. ● Familiarity with SOTA architectures and frameworks for CV applications. ● Leadership experience in guiding projects or mentoring junior team members. ● Willingness to travel as required. Nice to Have: ● Experience with multi-threaded or distributed processing. ● Understanding of industrial communication protocols. ● Background in automation, safety monitoring, or real-time analytics. What We Offer: ● Opportunity to work on high-impact AI systems ● Collaborative, innovation-focused workplace ● Growth opportunities in a rapidly expanding tech company. ● Competitive salary and performance-based incentives. To Apply: Send your resume and portfolio (if any) to hr@muksrobotics.com with the subject line: “Application for Senior Computer Vision Engineer – [Your Name]” Job Type: Full-time Work Location: In person
Job Title: Senior Computer Vision Engineer(On-site) Location: Baner, Pune (Maharashtra) No. of Openings: 02 Experience: 2+ years Company: Muks Robotics AI Pvt. Ltd. Department: Computer Vision Department Travel: May require travel to client sites About Us: Muks Robotics AI Pvt. Ltd. is a forward-thinking robotics company dedicated to building intelligent, efficient, and cutting-edge robotic solutions for diverse industries. We focus on innovation, practical application, and pushing the boundaries of automation and AI-driven robotics. About the Role: We are seeking a Senior Computer Vision Engineer to lead the design, optimization, and deployment of advanced vision-based solutions for real-time, production-grade environments. This role involves hands-on development and mentoring, focusing on applications such as object detection, motion tracking, segmentation, OCR, pose estimation, and anomaly detection - from concept to deployment on edge or server platforms. Candidates will work with state-of-the-art models, architectures, and frameworks to deliver high-performance solutions. Key Responsibilities: ● Lead the development of computer vision pipelines for detection, tracking, segmentation, recognition, and measurement tasks. ● Build and optimize solutions for OCR, human pose estimation, activity recognition, and anomaly/defect detection using SOTA models and architectures. ● Train, evaluate, and fine-tune deep learning models for high accuracy and performance. ● Work with modern CV architectures such as YOLOv8/v9, Detectron2, Mask R-CNN, Faster R-CNN, EfficientDet, SegFormer, Swin Transformer, OpenPose, HRNet, Vision Transformers (ViT), UNet, DeepLabv3+, and SAM . ● Implement OCR solutions using architectures like PaddleOCR, CRNN, Transformer-based text recognition models . ● Manage data collection, cleaning, labeling, and augmentation strategies. ● Optimize systems for real-time deployment and high-performance processing. ● Integrate solutions on embedded platforms, edge devices, and servers. ● Conduct benchmarking, testing, and ensure quality assurance of vision systems. ● Process live video streams and refine pipelines for efficiency and scalability. ● Collaborate with hardware, firmware, and backend teams to deliver end-to-end solutions. ● Mentor junior engineers and maintain detailed documentation of algorithms, experiments, and deployment workflows. Required Skills & Qualifications: ● Bachelor’s or Master’s degree in Computer Science, AI/ML, Electronics, or a related field. ● Minimum 2 years of hands-on experience in computer vision development. ● Strong programming and algorithm design skills (Python preferred). ● Proven experience in object detection, segmentation, OCR, pose estimation, and anomaly detection. ● Experience deploying AI models on edge or server environments. ● Expertise in real-time video data processing and high-performance computation. ● Familiarity with SOTA architectures and frameworks for CV applications. ● Leadership experience in guiding projects or mentoring junior team members. ● Willingness to travel as required. Nice to Have: ● Experience with multi-threaded or distributed processing. ● Understanding of industrial communication protocols. ● Background in automation, safety monitoring, or real-time analytics. What We Offer: ● Opportunity to work on high-impact AI systems ● Collaborative, innovation-focused workplace ● Growth opportunities in a rapidly expanding tech company. ● Competitive salary and performance-based incentives. To Apply: Send your resume and portfolio (if any) to hr@muksrobotics.com with the subject line: “Application for Senior Computer Vision Engineer – [Your Name]” Job Type: Full-time Work Location: In person
Job Description Job Title: Computer Vision Intern (Full-time, On-site) Location: Baner, Pune (Maharashtra) No. of Openings: 02 Company: Muks Robotics AI Pvt. Ltd. Duration: 6 Months (Paid) Department: Computer Vision Department Travel: May require travel to client sites About Us: Muks Robotics AI Pvt. Ltd. is a forward-thinking robotics company dedicated to building intelligent, efficient, and cutting-edge robotic solutions for diverse industries. We focus on innovation, practical application, and pushing the boundaries of automation and AI-driven robotics. About the Role: We are seeking a motivated Computer Vision Intern to support the development, optimization, and deployment of vision-based solutions for real-time, production-grade environments. The intern will assist in projects spanning object detection, motion tracking, segmentation, OCR, pose estimation, and anomaly detection - gaining hands-on experience from concept to deployment on edge or server platforms. Key Responsibilities: ● Assist in developing computer vision pipelines for detection, tracking, segmentation, recognition, and measurement tasks. ● Support building solutions for OCR, human pose estimation, activity recognition, and anomaly/defect detection. ● Aid in training, evaluating, and optimizing deep learning models for accuracy and performance. ● Help manage data collection, cleaning, labelling, and augmentation processes. ● Support optimization of systems for real-time deployment and high-performance processing. ● Collaborate with hardware, firmware, and backend teams on deployment and integration tasks. ● Document algorithms, experiments, and deployment workflows. Required Skills & Qualifications: ● Bachelor’s or Master’s degree in Computer Science, AI/ML, Electronics, or related field. ● Familiarity with Python programming and basic algorithm design. ● Exposure to computer vision tasks such as object detection, segmentation, OCR, or pose estimation. ● Interest in deploying AI models on edge or server environments. ● Enthusiasm for working with real-time video data and high-performance processing. ● Willingness to learn and travel as required. Nice to Have: ● Experience with multi-threaded or distributed processing. ● Understanding of industrial communication protocols. ● Background or interest in automation, safety monitoring, or real-time analytics. What We Offer: ● Opportunity to work on high-impact AI systems ● Hands-on exposure to computer vision projects in real-world environments ● Collaborative, innovation-focused workplace To Apply: Send your resume and portfolio (if any) to hr@muksrobotics.com with the subject line: “Application for Computer Vision Intern – [Your Name]” Job Type: Internship Contract length: 6 months Work Location: In person
Job Title: Senior Computer Vision Engineer(On-site) Location: Baner, Pune (Maharashtra) No. of Openings: 01 Experience: 2+ years Company: Muks Robotics AI Pvt. Ltd. Department: Computer Vision Department Travel: May require travel to client sites About Us: Muks Robotics AI Pvt. Ltd. is a forward-thinking robotics company dedicated to building intelligent, efficient, and cutting-edge robotic solutions for diverse industries. We focus on innovation, practical application, and pushing the boundaries of automation and AI-driven robotics. About the Role: We are seeking a Senior Computer Vision Engineer to lead the design, optimization, and deployment of advanced vision-based solutions for real-time, production-grade environments. This role involves hands-on development and mentoring, focusing on applications such as object detection, motion tracking, segmentation, OCR, pose estimation, and anomaly detection - from concept to deployment on edge or server platforms. Candidates will work with state-of-the-art models, architectures, and frameworks to deliver high-performance solutions. Key Responsibilities: ● Lead the development of computer vision pipelines for detection, tracking, segmentation, recognition, and measurement tasks. ● Build and optimize solutions for OCR, human pose estimation, activity recognition, and anomaly/defect detection using SOTA models and architectures. ● Train, evaluate, and fine-tune deep learning models for high accuracy and performance. ● Work with modern CV architectures such as YOLOv8/v9, Detectron2, Mask R-CNN, Faster R-CNN, EfficientDet, SegFormer, Swin Transformer, OpenPose, HRNet, Vision Transformers (ViT), UNet, DeepLabv3+, and SAM . ● Implement OCR solutions using architectures like PaddleOCR, CRNN, Transformer-based text recognition models . ● Manage data collection, cleaning, labeling, and augmentation strategies. ● Optimize systems for real-time deployment and high-performance processing. ● Integrate solutions on embedded platforms, edge devices, and servers. ● Conduct benchmarking, testing, and ensure quality assurance of vision systems. ● Process live video streams and refine pipelines for efficiency and scalability. ● Collaborate with hardware, firmware, and backend teams to deliver end-to-end solutions. ● Mentor junior engineers and maintain detailed documentation of algorithms, experiments, and deployment workflows. Required Skills & Qualifications: ● Bachelor’s or Master’s degree in Computer Science, AI/ML, Electronics, or a related field. ● Minimum 2 years of hands-on experience in computer vision development. ● Strong programming and algorithm design skills (Python preferred). ● Proven experience in object detection, segmentation, OCR, pose estimation, and anomaly detection. ● Experience deploying AI models on edge or server environments. ● Expertise in real-time video data processing and high-performance computation. ● Familiarity with SOTA architectures and frameworks for CV applications. ● Leadership experience in guiding projects or mentoring junior team members. ● Willingness to travel as required. Nice to Have: ● Experience with multi-threaded or distributed processing. ● Understanding of industrial communication protocols. ● Background in automation, safety monitoring, or real-time analytics. What We Offer: ● Opportunity to work on high-impact AI systems ● Collaborative, innovation-focused workplace ● Growth opportunities in a rapidly expanding tech company. ● Competitive salary and performance-based incentives. To Apply: Send your resume and portfolio (if any) to hr@muksrobotics.com with the subject line: “Application for Senior Computer Vision Engineer – [Your Name]” Job Type: Full-time Work Location: In person