- Making immediate contributions to projects, rapidly building trust with your clients and team
- Working pragmatically to balance technology choices while delivering high-quality work within deadlines
- Contributing to architecture and software design discussions
- Collaborating on systems that involve the full ML lifecycle from data ingestion and preprocessing, to model deployment, integration, and performance monitoring
- Generating new potential solutions to challenges (technical and non-technical) in partnership with team members and clients
- Contributing to formal feedback conversations with teams and clients via retrospectives
- Clearly articulating and documenting outcomes and driving forward action items
- Regular syncs with your delivery team to provide status updates, and for identifying and evaluating risks and presenting potential solutions
- Identifying, mitigating, and resolving blockers to team progress
- Pursuing opportunities to further your skills to grow your career and keep pace with the rapid changes within the technology industry
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