AI Engineer - Machine Learning (1+)
zs
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1 hours ago
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Bengaluru, India
- Build, Refine and Use ML Engineering platforms and components.
- Scaling machine learning algorithms to work on massive data sets and strict SLAs.
- Build and orchestrate model pipelines including feature engineering, inferencing and continuous model training.
- Implement ML Ops including model KPI measurements, tracking, model drift & model feedback loop.
- Collaborate with client facing teams to understand business context at a high level and contribute in technical requirement gathering.
- Implement basic features aligning with technical requirements.
- Write production-ready code that is easily testable, understood by other developers and accounts for edge cases and errors.
- Ensure highest quality of deliverables by following architecture/design guidelines, coding best practices, periodic design/code reviews.
- Write unit tests as well as higher level tests to handle expected edge cases and errors gracefully, as well as happy paths.
- Uses bug tracking, code review, version control and other tools to organize and deliver work.
- Participate in scrum calls and agile ceremonies, and effectively communicate work progress, issues and dependencies.
- Consistently contribute in researching & evaluating latest architecture patterns/technologies through rapid learning, conducting proof-of-concepts and creating prototype solutions.
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