3 electronics jobs found

Position: Equipment Maintenance Technician I Job Description: The Equipment Maintenance Technician I is responsible for performing routine maintenance, troubleshooting, and repair of equipment and machinery to ensure optimal performance and minimize downtime. This entry-level position requires a hands-on approach to maintaining equipment in accordance with company standards, safety protocols, and operational requirements. The technician will work under the guidance of senior maintenance staff and supervisors to develop technical skills and gain experience in equipment maintenance. Fully In Office: Monday-Friday (12am - 8:30 am) Must be able to work overtime when needed. Must be able to do a temporary change of shift as needed for business needs. What You'll Be Doing:   Troubleshoot and repair all equipment Troubleshoot and repair programming adapters Troubleshoot and repair down to component level Preventive Maintenance Hardware and software computer repairs...

Position: Solution Engineer II (AI/ML lead) Job Description: Principal Accountabilities Collaborate with teams to translate business requirements into technical specifications, system architecture, and ML pipelines. Drive end-to-end solution delivery — including data preparation, model development, optimization, validation, deployment, and continuous improvement. Provide technical guidance and mentorship to junior engineers and data scientists; review and refine their designs and code implementations. Develop reusable ML frameworks, model training workflows, and inference pipelines for rapid prototyping and deployment. Evaluate and integrate state-of-the-art AI/ML technologies to continuously improve model efficiency and system design. Respond to client RFQs and provide robust technical proposals and solution architectures. Partner cross-functionally with system engineers, embedded developers, and application teams for integrated AI system delivery. Job...

Position: AI ML Engineer Job Description: 2 to 5+ years of experience in understanding the problem statement, data handling/triage, selecting and improving neural network models using deep learning frameworks to solve business problems. Excellent hands-on Coding in Python (mandatory), C/C++ or Java. Experience in developing AI/ML/DL models by using transfer learning or from scratch. Reasonably good knowledge on leading deep learning frameworks like Tensorflow, PyTorch, ONNX, Keras and others. Working experience in computer vision models like Yolo, Mobilenet, Resnet etc. Good understanding and working knowledge of AI/ML/DL on Edge (for e.g. Nvidia Jetson family, Qualcomm, Intel, Rpi). Thorough understanding and experience of DL/AI/ML lifecycle - full neural network pipeline, starting from data collection to model building to experimental framework to data analytics. Developed/optimized various models in computing domain (Video, Statistics , Audio and others)....