Senior MLOps Engineer

As a Senior MLOps Engineer, you will be building a platform that accelerates drug discovery with machine learning for a wide variety of use cases with respect to data modality, model architecture, and model size. By leveraging your experience in machine learning, software engineering, infrastructure, and data, you will:

Build our machine learning platform from a mixture of off-the-shelf and custom tooling as needed to enable the full model lifecycle from development through deployment

Partner with ML teams actively developing models to onboard them to platform capabilities

Continuously optimize the platform to support our emerging machine learning research capabilities and evolving use case needs

Steer the direction for ML tooling, improve technical standard and advocate for best practices

Inspire your team and stakeholders alike to find the best outcome by facilitating constructive dialogue, reconciling perspectives into a unified view
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