MLE/MLOps, OOPs Python, Databricks, Azure • Primary skills:Technology->Data Science->Machine Learning,Technology->Machine Learning->Python Preferred Skills Experience with feature stores and model monitoring tools Knowledge of Docker & Kubernetes (containerization) Familiarity with streaming (Kafka, Event Hub) Experience with Lakehouse architecture (Delta Lake) Exposure to GenAI / LLMOps (optional, added advantage) Machine Learning Engineering Design, develop, and deploy scalable ML models and AI solutions Build end-to-end pipelines covering data ingestion, feature engineering, model training, evaluation, and deployment Apply advanced techniques for model optimization, validation, and explainability Ensure models are production-ready with high accuracy and performance MLOps & Lifecycle Management Design and implement MLOps frameworks for CI/CD/CT (continuous training) Automate model deployment, versioning, monitoring, and rollback strategies Implement model performance tracking, drift ...