Grid Dynamics
ML Frameworks Engineer
Grid Dynamics, Sunnyvale, CA, United States
Description
Position at Grid Dynamics Our customer is an American multinational technology company headquartered in San Ramon, California. Our customer is one of the world's largest technology companies based in Silicon Valley with operations all over the world. On this project, we are working with bleeding-edge big data technologies to develop a high-performance data analytics platform, which handles petabytes of data. Enhance fleet health data for evolving ML machine deployments through innovations like PRISM, SHAG, and Dark Sky. Your role involves refining big data pipelines, creating new ones, and ensuring code reliability to optimize spare part logistics and minimize shortages. Make a direct impact on the efficiency and reliability of our cutting-edge data center operations. Responsibilities :- Build machine learning tooling to facilitate various phases of the ML lifecycle from model training, data ETL, end-to-end model evaluation and deployment.
- Work with technical and non-technical stakeholders to build solutions to align LLMs for specific use cases.
- Deliver reusable and easy-to-use tooling to integrate with existing data and machine learning systems
- Strong understanding of machine learning principles, especially in the context of LLMs.
- 5+ years of proficiency in Python, including machine learning packages like Jax/Tensorflow or PyTorch.
- Skills in Java/scala (preferred).
- Experience building scalable deep learning systems.
- Experience with large-scale data infrastructure.
- Strong verbal and written communication skills with the ability to work effectively across internal and external organizations and virtual teams.
- BS/BA or equivalent degree in computer science or similar (preferred).
- Opportunity to work on cutting-edge projects
- Work with a highly motivated and dedicated team
- Competitive salary
- Flexible schedule
- Full benefits including but not limited to medical, dental, vision
- Corporate social events
- Professional development opportunities