Remote Position
Senior Machine Learning Operations Engineer
🌍 Remote · United States
💼 Full-time
Job Description:
- Build and operationalize the infrastructure that allows machine learning to run reliably in production.
- Architect and implement Built’s foundational ML Ops platform from scratch
- Define and deploy reusable patterns for model training, deployment, monitoring, and retraining
- Build CI/CD pipelines for ML lifecycle automation, including versioning and experimentation tracking
- Stand up a feature store integrated with Snowflake and AWS to support structured and unstructured data
- Implement model registry and governance standards to ensure reproducibility, auditability, and rollback capability
- Integrate ML workloads into our event-driven architecture (Kafka, Kinesis)
- Develop observability frameworks to monitor drift, performance, latency, and model quality in production
- Automate ML infrastructure using Terraform and AWS-native tooling (SageMaker, Lambda, ECS, Batch, Step Functions)
- Establish security and compliance standards across ML assets, including data lineage and access control
- Mentor engineers on ML Ops patterns and deployment best practices 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 Apply tot his job