Data Scientist MLOps and Applied Ops
Tasks
- Design and govern data and ML platform architectures
- Drive platform operationalisation with CI CD automation environment management and release processes
- Establish data quality lineage and observability frameworks
- Lead end to end delivery of DataOps and MLOps solutions
- Lead mentor and quality assure delivery teams
- Oversee ML lifecycle management deployment monitoring retraining and governance
- Own client relationships and translate business requirements
Perks/Benefits
Skills/Tech-stack
Automation | CI/CD | Cloud | Data Lineage | Data Quality | DataOps | MLOps | Machine Learning | Monitoring | Observability | Python | SQL | SQL testing
Education
N/A
Regions
Countries
States
Cities
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