Senior MLOps Engineer

February 19

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Unlocking the benefits of autonomy today with software and services that enable any vehicle, anywhere to be self-driving

Mobile Autonomy • 3D Scene Perception & Understanding • Localisation and Mapping Solutions • Artificial Intelligence • Computer Vision

201 - 500

Description

• Designing and building cloud solutions to support machine learning engineers • Building tools and APIs for ML teams in various stages of ML workflows • Automating the entire ML lifecycle from data ingestion to model deployment • Prototyping tools for ML engineers to access cloud infrastructure • Providing training in the use of MLOps tools • Contributing to core infrastructure of MLOps platform

Requirements

• Experience in designing and building cloud solutions • Proficiency in building tools and APIs • Familiarity with ML workflows • Strong understanding of ML lifecycle • Ability to prototype and iterate towards production-ready services • Knowledge of MLOps best practices

Benefits

• Remote work available • Full-time position