Machine Learning Engineer

Our Client is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. The client invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. It focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting, and our teams thrive on tackling really hard problems. There is never a dull moment with us.

Core Responsibilities

• Implement and maintain PyTorch-based training and inference pipelines.
• Develop modular, reusable code for data handling, model serving, and evaluation.
• Optimize code to run faster and keep accuracy
• Optimize data transfer between systems (e.G., Windows Linux), including gRPC or other protocols.
• Ensure code quality through testing, documentation, and CI / CD practices.
• Support deployment of models into production environments or internal tools.
• Collaborate with the algorithm expert to translate research into scalable solutions.

Minimum Qualifications

Preferred :

Please mention notice period & compensation details on resume.