AI Machine Learning Engineer

Strong MLOps and production operations focus

• Responsible for managing MLOps workflows, tools, and production support processes for ML solutions.
• Ensure day-to-day stability, reliability, and performance of ML models and pipelines.
• Manage model lifecycle controls, including versioning, lineage, reproducibility, monitoring, and governance.
• Develop incident handling, recovery, and escalation procedures for ML-related issues.
• Support data quality, lineage tracking, and governance practices across the ML lifecycle.

Bachelor’s or Master’s degree in Computer Science or a related field

-Experience with SQL, Databricks, MLFlow and PowerBI/Tableau.

-Hands-on experience with MLOps tools and cloud ML platforms such as MLflow, Databricks, Azure ML, or equivalent.

-Strong SQL and data analysis skills for validation, troubleshooting, monitoring, and reporting.

-Experience with model lifecycle management, including model registry, versioning, lineage, reproducibility, deployment tracking, and monitoring.

-Familiarity with dashboards and alerting tools such as Power BI, Tableau, Databricks SQL dashboards, or equivalent.

-Working knowledge of Git, CI/CD, scripting, and production support practices would be advantageous.

-Analytical and pragmatic, with the ability to interpret governance principles into implementation plans

Familiarity with ML and data development process in telco environment

Excellent communication, stakeholder management

Job Stability - min 2 years in an organization

Notice Period - Immediate to 45days