Data Science Engineer for Large-Scale Machine Learning

16 hours ago


Sunnyvale, California, United States Grid Dynamics Full time

As a Data Science Engineer at Grid Dynamics, you will play a crucial role in the development of cutting-edge data analytics platforms that handle massive amounts of data. We are seeking an experienced Machine Learning Architect to lead the design and implementation of advanced analytics solutions using bleeding-edge technologies like PRISM, SHAG, and Dark Sky.

About the Role

This position offers an exciting opportunity to work on high-performance data analytics projects, collaborating with a highly motivated team of engineers and technical stakeholders. Your primary responsibilities will include building machine learning tooling to facilitate various phases of the ML lifecycle, from model training to deployment.

You will work closely with internal teams and external organizations to develop scalable deep learning systems and ensure seamless integration with existing data and machine learning infrastructure. To succeed in this role, you must have a strong understanding of machine learning principles, particularly in the context of Large Language Models (LLMs).

About You

We are looking for a skilled Machine Learning Architect with 5+ years of experience in Python, including proficiency in packages like Jax/TensorFlow or PyTorch. Experience in Java/Scala is also preferred. You should be well-versed in large-scale data infrastructure and possess strong verbal and written communication skills.

What We Offer

At Grid Dynamics, we offer a competitive salary ($150,000 - $200,000 per year), flexible schedule, and comprehensive benefits package, including medical, dental, vision, and corporate social events. Our team is dedicated to professional growth and development, and we provide opportunities for continuous learning and skill enhancement.


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