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.

Key Requirements

• 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 support.
• Clear communicator, analytical, and proactive in fast-paced environments.
• Familiarity with ML/data processes in a telco environment is a plus.