Senior MLOps Engineer – US East Coast Time Zone

This is a fully remote position, open to applicants in Alaska, +7 more states.

📋 Description

• Oversee the development and enhancement of the environment, platform capabilities, and operational foundations that support machine learning workflows throughout Oura.

• Lead the design and integration of workflows and tools for dependable ML training, orchestration, and deployment.

• Collaborate with data scientists and engineers to refine the complete ML lifecycle from experimentation and training to deployment and governance.

• Establish and advance model governance practices, which include reproducibility, lineage, access controls, and operational standards.

• Standardize ML tools and workflows such as experiment tracking, model packaging, and promotion procedures.

• Work together across business domains to onboard use cases and prioritize collective ML platform enhancements.

• Address reliability, scalability, and cost-efficiency challenges within cloud ML infrastructure.

• Promote standards, automation, infrastructure-as-code, CI/CD, and documentation among data science teams.

• Enhance observability and automation of infrastructure for ML workflows.

• Contribute to workflow orchestration and platform integrations for model training and batch inference.

• Align ML systems with wider data platform and governance practices.

• Develop best practices for creating, deploying, and maintaining production ML systems.

⛳️ Requirements

• A minimum of 5 years of experience in MLOps, machine learning engineering, platform engineering, data engineering, or a closely related discipline.

• Practical experience managing production workloads in AWS.

• Solid understanding of cloud infrastructure concepts.

• Comprehensive knowledge of the machine learning lifecycle, encompassing training workflows, deployment patterns, monitoring, and model maintenance.

• Acquainted with data science workflows and experimentation/model-operations tools like MLflow.

• Familiar with workflow orchestration, infrastructure-as-code, and CI/CD practices tailored for ML or data platforms.

• Knowledge of secure access patterns, governance controls, and shared cloud or data platform services.

• Experience in building or supporting production-grade ML workflows centered on reliability, reproducibility, and maintainability.

• Capability to drive standards and enhancements across various teams and business domains.

• Excellent communication and collaboration abilities with both technical and non-technical stakeholders.

• Ability to function within a distributed team while demonstrating ownership and autonomy.

🏝️ Benefits

• Competitive salary and equity packages.

• Health, dental, and vision insurance, along with mental health resources.

• An Oura Ring for yourself plus employee discounts for friends and family.

• 20 days of paid time off, plus 13 paid holidays and 8 days of flexible wellness time off.

• Paid sick leave and parental leave.