- Streamlining and automating machine learning workflows to ensure robust model deployment, monitoring, and maintenance.- Designing and building scalable data pipelines to support machine learning projects, including data collection, transformation, and storage.- Working with data pipelines to ensure efficient and reliable data flow for analysis and model training.- Leveraging AWS services for data science tasks, including data processing, model training, and deployment.- Implementing best practices for cloud infrastructure management, security, and cost optimization.- Collaborating closely with cross-functional teams to deliver high-quality, scalable, and efficient machine learning solutions that drive business value.- Ensuring seamless integration of ML models into production systems while maintaining high standards of performance and reliability.