Senior MLOps Engineer in Drug Discovery

Drive innovation in drug discovery as a Senior MLOps Engineer. Collaborate on a machine learning platform that transforms data into actionable insights, supporting various use cases in a hybrid work model.

In this key role, you'll design and build a robust machine learning platform using both off-the-shelf and custom tools. Your expertise in machine learning and software engineering will empower ML teams to efficiently onboard new models as you continuously optimize the platform for evolving requirements. You’ll significantly influence ML tooling directions while advocating for best practices across the organization.

Key Responsibilities:

• Build a centralized platform for seamless ML lifecycle management

• Collaborate with ML teams to enhance platform capabilities

• Optimize the platform for emerging research needs

• Set technical standards and promote best practices

• Facilitate constructive dialogue among stakeholders

Requirements:

• Experience in designing large distributed systems

• Proficiency in the full ML and software development lifecycle

• Strong mentoring capabilities in open environments

• Familiarity with tools like PyTorch, GCP, and Docker

• Experience with scaling production-grade ML solutions

Transform the landscape of drug discovery by leveraging and optimizing machine learning tools.
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