About this role

Design and implement our greenfield ML platform 10Xing the Data Science team’s impact
Work closely with Data Scientists to understand their development needs
Work closely with Stakeholders to understand the business problems driving model deployments and how models can augment their workflows
Assess and integrate cutting-edge software and practices in Data Science and MLOps.
Refactor disjointed data science scripts and workflows into modular 'skills'

3+ years experience in Data Science and ML Engineering.
Deep experience developing as a team in Python
Deep experience designing and implementing MLOps platforms in a cloud environment
Deep experience implementing CI/CD workflows that manage model deployments
Experience developing containerized applications
Ability to innovate without over-engineering
Familiarity with well-known statistical and ML models and methods
Strong detail orientation with a penchant for deployment reliability
Must successfully pass a background check

ML Platform Engineer

Key skills