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++.