AI Machine Learning

Experience with MLOps processes and tools 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 Clear communicator who can explain complex technical risks and solutions to non-technical stakeholders Self-driven and proactive, comfortable working in a fast-paced environment Familiarity with ML and data development process in telco environment Bachelor's or Master's degree in Computer Science or a related field