We are seeking a full-time MLOps Platform Engineer to join our team in Chicago, IL. In this role, you will build and scale an MLOps Platform that supports the full lifecycle of AI and machine learning development through and beyond production.
Requirements
- Define scalable and secure architectures, frameworks, and pipelines for building, deploying, and diagnosing production ML applications.
- Design and implement cloud solutions and build MLOps pipelines on cloud platforms (e.g., AWS).
- Run code refactoring and optimization, containerization, deployment, versioning, and quality monitoring, including data and concept drift detection.
- Create automated testing, validation, and deployment workflows for data science models.
- Develop standards and examples to accelerate the productivity of data science teams; provide best practices and execute proofs of concept for automated and efficient MLOps at scale.
- Enable users and teams on the ML platform; troubleshoot and debug user issues; maintain user-friendly documentation and training materials.
- Collaborate with internal stakeholders to build out a comprehensive MLOps Platform; work with engineers and the scrum team to create user stories and tasks from higher-level requirements.
Benefits
- 401(k)
- Dental insurance
- Vision Insurance
- Disability insurance
- Employee assistance program
- Health insurance
- Health savings account
- Life insurance
- Paid time off
- Paid Holidays
