Skills- 5+ years of experience in machine learning engineering or applied ML with a focus on Azure cloud technologies. Proficient in Python (preferably OOP), PySpark and strong experience with ML frameworks such as Scikit-learn, TensorFlow, PyTorch. Hands-on experience with Databricks platform tools. Solid understanding of data preprocessing, feature engineering, and model optimization. Experience with ML pipeline orchestration using tools like MLflow, Azure Machine Learning. Excellent understanding of evaluation metrics and ML evaluation methods such as A/B testing and cross-validation. Experience with Git and building CI/CD pipelines for ML models, preferably in Azure DevOps/Azure Pipelines.