About the role
Roles and Responsibilities:
- Design, develop, and optimize machine learning models in Python for large-scale enterprise applications.
- Build and maintain end-to-end ML pipelines—from data ingestion and preprocessing to model deployment—using tools like Airflow, MLflow, and Docker.
- Collaborate with data scientists, cloud engineers, and domain experts to translate business problems into AI-driven solutions.
- Implement MLOps best practices for continuous integration, deployment, and monitoring of ML models in production.
- Work with cloud platforms (AWS, Azure, or GCP) to deploy and scale AI solutions.
- Continuously research and experiment with emerging ML techniques, including deep learning, NLP, and generative AI