Develop, execute, and maintain custom Python packages to organize reusable tools used in MLOps, model evaluation and inference, and model packaging.
Develop MLOps automations that run on Kubernetes using Kubeflow and Flyte.
Execute unit tests for those packages and processes as they are built.
Support continuous integration and continuous deployment (CI/CD) practices for AI/ML systems using MLOps best practices.
Document APIs, Python packages, and other CI/CD processes as they are built.
Participate in code reviews and provide feedback on testability, efficiency, and maintainability of code.

You are currently enrolled in a Computer Science, Software Engineering, or related field, seeking a co-op opportunity.
You have experience or coursework in automation tools and scripting languages (e.g., Python, JavaScript).
You have basic knowledge of CI/CD tools (e.g., GitHub Actions, Jenkins, GitLab CI).
You demonstrate strong attention to detail, analytical skills, and a passion for quality.
You have familiarity with Git and version control best practices.
You have familiarity with the Linux environment.
You have a foundational understanding of how AWS services support SaaS applications for IoT environments.
You have familiarity with performance testing tools and methodologies to ensure the robustness and scalability of applications.
You have an excellent command of the English language, both written and verbal.

Wellness support: Monthly reimbursement for fitness, wellness, or mental health programs.
Flexible working hours: Where the role allows, we support flexibility in how and where work gets done.
Growth through merit: Advancement is based on contribution, initiative, and the ability to raise the bar
together.
Candid culture: Clear expectations, honest feedback, and no politics.
Social connection: Stay connected in ways that actually feel fun.

Software Engineer Co-Op – AI/ML

Key skills