- Design, build, and deploy scalable machine learning models using Azure Machine Learning and Azure Databricks.

- Develop automated ML pipelines for data ingestion, training, validation, deployment, and monitoring

- Collaborate with data scientists and analysts to translate experiments into production-ready solutions.

- Integrate AI capabilities into cloud applications using Azure Cognitive Services and Azure OpenAI.

- Optimize model performance and manage version control, experimentation, and model registry within Azure ML.

- Implement CI/CD workflows for ML operations (MLOps) using Azure DevOps and related tools.

- Ensure data privacy, security, and compliance by applying governance and responsible AI principles.

- Troubleshoot performance issues and provide support for deployed models in production.

- Stay current on AI and Azure developments, and contribute to the evolution of internal best practices and frameworks.