Build a strong understanding around the business products, processes and data sources
Identify business relevant ML use cases: running pilots, implementation in production, subsequent monitoring (e.g. for drift) and ideating additional data requirements
Develop and deploy Generative AI applications, including building AI Agents and Agentic Networks
Ensure that solutions developed have measurable business impact, are scalable and can be adapted to needs of different products / functions
Optimization of ML models and existing data pipelines for performance, ensuring model version control and experiment control
Manage Code Repositories using version control systems like Bitbucket/Git to maintain code quality and collaborative workflows
Stay updated with the advancements in the field of Data Science and determine their application