ML Engineer-AI Engineer-Machine Learning

We are seeking a skilled MLFlow 3 Engineer to join our Data & AI Engineering team. The ideal candidate will have hands-on experience in managing the end-to-end lifecycle of machine learning models using MLFlow 3.x, along with expertise in Python, Databricks, PySpark, and Azure. The role is a cusp between ML Engineering and MLOPs. You will work closely with data scientists, ML engineers, and DevOps teams to operationalize ML workflows, ensuring scalability, reliability, and compliance.

• Design, implement, and maintain  MLFlow 3.x tracking, model registry, and deployment pipelines.
• Integrate MLFlow with Databricks, Azure ML, and CI/CD pipelines for automated model deployment.
• Develop and optimize PySpark data processing pipelines for model training and evaluation.
• Manage and monitor model performance, retraining, and version control.
• Optimize infrastructure for scalability, cost efficiency, and performance within Azure environments.
• Create documentation and reusable templates for ML model management and deployment.
• Ensure adherence to data governance, compliance, and security best practices.

Bachelor Degree in relevant field with 3 - 6 years of relevant experience