Data Scientist for Machine Learning Operations
2 days ago
Grainger is looking for a skilled Data Scientist for Machine Learning Operations to join its team. The ideal candidate will have expertise in designing, analyzing, and troubleshooting large-scale distributed systems and/or working with accelerated compute (e.g., GPUs), experience working with machine learning applications and associated frameworks/tools, particularly for monitoring and observability, and ability to work collaboratively in a team environment.
About Grainger:
We serve more than 4.5 million customers worldwide with products delivered through innovative technology and deep customer relationships. With estimated annual sales of $16.5 billion, we're dedicated to providing value for customers, fostering an engaging culture for team members, and driving strong financial results.
Key Responsibilities:
The successful candidate will be responsible for guiding, partnering, and consulting with machine learning, product, and business domain teams from across the organization to foster responsible, scalable, and efficient development of high-quality ML systems, designing, analyzing, and troubleshooting large-scale distributed systems and/or working with accelerated compute (e.g., GPUs), and experiencing working with machine learning applications and associated frameworks/tools, particularly for monitoring and observability. Bachelor's degree and 5+ years' relevant work experience or an equivalent combination of education and experience. Expertise in designing, analyzing, and troubleshooting large-scale distributed systems and/or working with accelerated compute (e.g., GPUs) Experience working with machine learning applications and associated frameworks/tools, particularly for monitoring and observability. Ability to work collaboratively in a team environment. Estimated salary: $150,000 - $180,000 per year.
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