- Make immediate contributions to projects and build trust with clients.
- Work pragmatically to balance technology choices while delivering high-quality work within deadlines.
- Lead architecture and software design discussions.
- Collaborate on systems involving the full ML lifecycle from data ingestion to model deployment and monitoring.
- Generate new potential solutions to technical and non-technical challenges in partnership with team members.
- Lead formal feedback conversations via retrospectives.
- Articulate outcomes and drive forward action items.
- Manage high-level project roadmaps and maintain relationships with client technical leaders.
PythonSQLJava+7 more