Senior Machine Learning Engineer

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
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