Requirements

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