United States onlyBuilt is hiring a Senior Machine Learning Operations Engineer to design and implement an ML Ops platform that enables training, deployment, monitoring, governance, and automation across the company's ecosystem. The successful candidate will have experience architecting and deploying ML systems in production environments and be proficient in AWS, Terraform, and Python.
Requirements
- Experience architecting and deploying ML systems in production environments
- Deep familiarity with ML lifecycle automation (training, CI/CD, deployment, monitoring)
- Strong AWS experience, particularly within ML pipelines (SageMaker preferred)
- Proven experience building infrastructure-as-code solutions (Terraform)
- Experience productionizing ML workflows end-to-end, not just optimizing existing systems
- Strong Python proficiency
- Experience integrating ML workloads with data platforms and event-driven systems
- Solid SQL skills and familiarity working with Snowflake
Benefits
- Competitive benefits including: uncapped vacation, health, dental & vision insurance
- 401k with match and expedited vesting
- Robust compensation package, including equity in the form of stock options
- Flexible working hours, paid family leave, ERGs & Mentorship opportunities
- Learning grant program to support ongoing professional development
