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.