Vacancy Description
Key Responsibilites
- Design, implement, and manage MLOps workflows and tools for ML & GenAI solutions.
- Ensure stability, reliability, and performance of ML models and pipelines.
- Oversee model lifecycle operations : registry, versioning, deployment tracking, lineage, reproducibility, and governance.
- Implement monitoring for data drift, model performance, inference quality , and service-level issues.
- Develop incident handling, recovery, rollback, and escalation procedures.
- Support data quality, dataset versioning, lineage tracking , and governance practices.
- Bachelor's/Master's in Computer Science or related field.
- Strong experience with MLOps tools (MLflow, Databricks, Azure ML, etc.).
- Proficiency in SQL, Databricks, Power BI/Tableau .
- Knowledge of Git, CI/CD, scripting, and production s...
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