Proven end-to-end delivery of AI/ML solutions in real production environments.
Hands-on ownership of deployed models, including monitoring, retraining, and operational support.
Strong experience with Python, TensorFlow/PyTorch, and production-grade ML
workflows.
Practical experience with Azure ML, Databricks, and cloud-native ML deployment.
MLOps experience, including CI/CD, model versioning, and performance monitoring.
Ability to independently handle data preparation, feature engineering, and data quality
challenges.
Experience delivering solutions within enterprise security, compliance, and governance
constraints.
Strong communication skills with the ability to translate AI concepts into measurable
outcomes.

Keyskills: Artificial Intelligence Machine Learning Azure Machine Learning Python CI/CD Pipelines Scikit-learn MLflow Model Monitoring PyTorch Spark Databricks Model Versioning TensorFlow