Job Description - We are seeking a skilled Mechanical Design Intern with a strong foundation in mechanical systems, 3D modeling, and engineering analysis. The ideal candidate will be responsible for designing, analyzing, and optimizing mechanical components and assemblies, contributing to the development of innovative and high-performance products. This role demands proficiency in CAD tools, a solid understanding of materials and manufacturing processes, and the ability to collaborate effectively across multidisciplinary teams. Key Responsibilities - Mechanical Design & Development: Design, develop, and maintain mechanical components and assemblies using industry-standard CAD tools such as SolidWorks, CATIA, and Fusion 360, ANSYS. Analyze and test existing products to identify areas for improvement. Ensure all product designs comply with relevant safety and regulatory standards. Assist in developing and building prototypes for functionality testing. 3D Modeling & Drafting: Generate detailed 3D models and 2D drawings with accurate GD&T annotations to ensure precise fabrication and assembly. Documentation: Create and maintain comprehensive design documentation, including CAD models, engineering change notes, BOMs, and assembly guides. Materials & Manufacturing: Select appropriate materials and design for manufacturability (DFM), considering processes like CNC machining, injection molding, and sheet metal fabrication. Qualification & Experience - Bachelor’s or master’s degree in mechanical engineering. Bachelor’s or master’s degree in Mechatronics / Automotive Engineering. Minimum 0–2 years of experience in the mechanical design domain (internships and industrial projects will be considered). Additional good to have skills [Any] - Experience with Finite Element Analysis (FEA) tools such as Abaqus, or COMSOL Hands-on experience with rapid prototyping tools (e.g., 3D printers, laser cutters) Understanding of electronics packaging and integration in electromechanical systems Experience in design optimization and cost reduction strategies Exposure to Agile or other product development methodologies Show more Show less
Job Description - We are seeking a Machine Learning Engineer to assist in developing and implementing object detection and AI-based predictions. You will have the opportunity to work on real-world applications and contribute to the development of novel algorithms. As a ML engineer, you’ll collaborate with our team and works various applied AI/ML tasks. Key Responsibilities - Assist in training and fine-tuning ML models for real-time AI-based tasks. Work with large datasets to prepare, annotate, preprocess, and augment data for training purposes. Implement and test model architectures to improve accuracy, speed, and performance. Help analyze and optimize model performance based on results and metrics. Document research and findings, contributing to team knowledge and project reports. Participate in code reviews and contribute to software development best practices. Stay updated with the latest trends and research in computer vision and applied ML. Qualifications - Bachelor's or master's degree program in Computer Science, Electrical Engineering, Data Science, or a related field. Solid understanding of AI/ML concepts, data cleaning, synthetic data generation and other relevant concepts. Hands-on experience with MLOps. Hands-on experience with YOLO or similar deep learning object detection frameworks (e.g., Faster R-CNN, SSD). Proficiency in programming languages such as Python Experience with OpenCV and Pytorch is a must. Experience with Statistical Analysis and modeling is a plus. Experience with CUDA and GPU acceleration is a plus. Experience with ROS and C++ is also a huge plus. Strong problem-solving skills, attention to detail, and a collaborative mindset. Preferred Skills - Knowledge of data cleaning techniques and data preprocessing methods. Familiarity with version control systems like Git . Experience in deploying models into production environments (optional). Exposure to ROS and OpenCV in C++.
Job Description - We are seeking a Machine Learning Engineer to assist in developing and implementing object detection and AI-based predictions. You will have the opportunity to work on real-world applications and contribute to the development of novel algorithms. As a ML engineer, you’ll collaborate with our team and works various applied AI/ML tasks. Key Responsibilities - Assist in training and fine-tuning ML models for real-time AI-based tasks. Work with large datasets to prepare, annotate, preprocess, and augment data for training purposes. Implement and test model architectures to improve accuracy, speed, and performance. Help analyze and optimize model performance based on results and metrics. Document research and findings, contributing to team knowledge and project reports. Participate in code reviews and contribute to software development best practices. Stay updated with the latest trends and research in computer vision and applied ML. Qualifications - Bachelor's or master's degree program in Computer Science, Electrical Engineering, or a related field. Solid understanding of AI/ML concepts, data cleaning, synthetic data generation and other relevant concepts. Hands-on experience with MLOps. Hands-on experience with YOLO or similar deep learning object detection frameworks (e.g., Faster R-CNN, SSD). Proficiency in programming languages such as Python Experience with OpenCV and Pytorch is a must. Experience with Statistical Analysis and modeling is a plus. Experience with CUDA and GPU acceleration is a plus. Experience with ROS and C++ is also a huge plus. Strong problem-solving skills, attention to detail, and a collaborative mindset. Preferred Skills - Knowledge of data cleaning techniques and data preprocessing methods. Familiarity with version control systems like Git . Experience in deploying models into production environments (optional). Exposure to ROS and OpenCV in C++.
Job Description - We are seeking a Machine Learning Engineer to assist in developing and implementing object detection and AI-based predictions. You will have the opportunity to work on real-world applications and contribute to the development of novel algorithms. As a ML engineer, you’ll collaborate with our team and works various applied AI/ML tasks. Key Responsibilities - Assist in training and fine-tuning ML models for real-time AI-based tasks. Work with large datasets to prepare, annotate, preprocess, and augment data for training purposes. Implement and test model architectures to improve accuracy, speed, and performance. Help analyze and optimize model performance based on results and metrics. Document research and findings, contributing to team knowledge and project reports. Participate in code reviews and contribute to software development best practices. Stay updated with the latest trends and research in computer vision and applied ML. Qualifications - Bachelor's or master's degree program in Computer Science, Electrical Engineering, or a related field. Solid understanding of AI/ML concepts, data cleaning, synthetic data generation and other relevant concepts. Hands-on experience with MLOps. Hands-on experience with YOLO or similar deep learning object detection frameworks (e.g., Faster R-CNN, SSD). Proficiency in programming languages such as Python Experience with OpenCV and Pytorch is a must. Experience with Statistical Analysis and modeling is a plus. Experience with CUDA and GPU acceleration is a plus. Experience with ROS and C++ is also a huge plus. Strong problem-solving skills, attention to detail, and a collaborative mindset. Preferred Skills - Knowledge of data cleaning techniques and data preprocessing methods. Familiarity with version control systems like Git . Experience in deploying models into production environments (optional). Exposure to ROS and OpenCV in C++.
Job Description - We are seeking an experienced Non-Destructive Testing (NDT) Specialist to join our team, with a strong background in advanced inspection technologies and data-driven analysis. The ideal candidate will possess expertise in ultrasonic testing methods and modern signal processing techniques, with the ability to support both field operations and technology development initiatives. Key Responsibilities - Perform advanced NDT inspections using Ultrasonic Testing (UT), Electromagnetic Acoustic Transducer (EMAT), and Phased Array Ultrasonic Testing (PAUT) methods. Develop, validate, and optimize inspection procedures for diverse materials and component geometries. Collect and analyse inspection data, applying signal processing and data interpretation techniques to ensure reliable defect characterization. Collaborate with engineering and software teams to integrate inspection data into digital platforms and automated inspection systems. Prepare detailed technical reports, clearly communicating inspection findings and recommendations. Support training, knowledge-sharing, and technology adoption across the organization. Desired Skills and Experience - Proven experience in NDT methods including UT, EMAT, and PAUT. Strong understanding of wave propagation, defect sizing, and flaw characterization principles. Experience with signal processing, data visualization, and analysis tools . Familiarity with software applications relevant to NDT data acquisition and interpretation (e.g., CIVA, MATLAB, Python-based tools, or similar). Ability to work with both manual and automated testing systems, including integration with advanced instrumentation. Certification in UT/PAUT preferred. Strong analytical skills, with the ability to troubleshoot issues and provide innovative solutions. Excellent communication and technical report writing skills. Additional Attributes - Experience in developing or adapting NDT methodologies for specialized applications. Knowledge of digital twin concepts or automated inspection systems. Team-oriented mindset with the ability to collaborate effectively across domains such as mechanical, software, and data engineering. Commitment to safety, quality, and continuous improvement.
About Us: RailLabs is an ambitous Digital Railway Safety startup incubated at IIT-MIC. We are building cutting-edge solutions for railway safety using advanced technologies in ultrasonics, robotics, machine vision, and autonomous systems. We are looking for a seasoned tech leader to join as Co-Founder & CTO and lead our technology vision and product development. Key Responsibilities: Lead industrial digital product development with substantial hands-on experience in building customer-facing products. Build, mentor, and manage high-performance engineering teams; define skill requirements, recruit, train, and monitor performance. Oversee product lifecycle from concept to commercialization including prototyping, scaling, and deployment. Strategically define technology roadmap and ensure alignment with business objectives. Manage outsourcing, vendor partnerships, and cross-functional collaboration. Who Can Apply: Mechanical, Electronic, or Mechatronics Engineer with 10+ years of overall experience; at least 5 years in team leadership. Proven experience in startup environments leading architecture and engineering teams to deliver scalable products. Strong research orientation, curiosity, high energy, and tolerance for ambiguity. Exposure to railway systems and IoT preferred. Track record of delivering fully commercialized products from concept to launch. Available to join within 2–3 months. Technology Focus Areas: Ultrasonics for non-destructive testing Laser profiling & machine vision Autonomous vehicles & robotic operations Embedded controllers & IIoT (Edge devices, Web Apps, communication protocols) Big Data analytics Mechanical design for mobile 4-wheeler bodies, including radio-guided and autonomous systems Remuneration Equity and salary as applicable for startup co-founders.
Job Description - We are seeking an experienced Non-Destructive Testing (NDT) Specialist to join our team, with a strong background in advanced inspection technologies and data-driven analysis. The ideal candidate will possess expertise in ultrasonic testing methods and modern signal processing techniques, with the ability to support both field operations and technology development initiatives. Key Responsibilities - Perform advanced NDT inspections using Ultrasonic Testing (UT), Electromagnetic Acoustic Transducer (EMAT), and Phased Array Ultrasonic Testing (PAUT) methods. Develop, validate, and optimize inspection procedures for diverse materials and component geometries. Collect and analyse inspection data, applying signal processing and data interpretation techniques to ensure reliable defect characterization. Collaborate with engineering and software teams to integrate inspection data into digital platforms and automated inspection systems. Prepare detailed technical reports, clearly communicating inspection findings and recommendations. Support training, knowledge-sharing, and technology adoption across the organization. Desired Skills and Experience - Proven experience in NDT methods including UT, EMAT, and PAUT. Strong understanding of wave propagation, defect sizing, and flaw characterization principles. Experience with signal processing, data visualization, and analysis tools . Familiarity with software applications relevant to NDT data acquisition and interpretation (e.g., CIVA, MATLAB, Python-based tools, or similar). Ability to work with both manual and automated testing systems, including integration with advanced instrumentation. Certification in UT/PAUT preferred. Strong analytical skills, with the ability to troubleshoot issues and provide innovative solutions. Excellent communication and technical report writing skills. Additional Attributes - Experience in developing or adapting NDT methodologies for specialized applications. Knowledge of digital twin concepts or automated inspection systems. Team-oriented mindset with the ability to collaborate effectively across domains such as mechanical, software, and data engineering. Commitment to safety, quality, and continuous improvement.