REQUIRED SKILLS Languages: Python (required); SQL; optional Java/ScalaML/MLOps: MLflow (or equivalent), model registry, monitoring, evaluation pipelinesData: Spark, DataFrames, data modeling fundamentals, feature engineeringDevOps: Git, CI/CD, Docker; Kubernetes, Terraform (optional)Cloud: Azure, logging/monitoringExperience with MLOps practices, including model versioning, monitoring, and CI/CD for ML pipelines. GOOD TO HAVE Understanding of Data Science modelsExposure to Deep Learning framewo