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- Lead large-scale ML projects with enterprise customers, from conception to production.
- Collaborate with other engineers to build and maintain large-scale systems, fostering a strong engineering culture.
- Ensure reliable model serving and efficient cloud infrastructure management.
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Machine Learning Engineer - California, United States - Acceler8 Talent
Description
About Us
At our dynamic startup, we're at the forefront of the rapidly evolving field of data-centric AI. Backed by a team of prominent researchers from MIT, we utilize the latest advancements in technology to create cutting-edge tools that enable users to diagnose and resolve issues in their datasets effectively. Our modern tech stack ensures that our solutions stay ahead of the curve, providing our clients with the means to thrive in an increasingly data-driven world.
About the Role:
As a Senior MLOps Engineer, you will play a pivotal role in developing and maintaining cloud infrastructure for our web application, serving numerous users with varying datasets and models. Collaborating closely with our enterprise customers, you'll lead large-scale ML projects from inception to production, leveraging your expertise in Python, PyTorch, AWS, Docker, and more. Your responsibilities will encompass working on complex MLOps challenges, ensuring reliable model serving and efficient cloud infrastructure management.
Key Responsibilities:
Relevant Keywords:
Python, PyTorch, Hugging Face, Relational databases, AWS, Docker, Sagemaker, MLflow, Snowflake, MLOps Engineer.
