About the job
- Acquire an in-depth understanding of our business products, processes, and data sources.
- Pinpoint business-critical ML applications: oversee pilot projects, implement solutions in production, conduct monitoring (e.g., for drift), and propose additional data needs.
- Design and deploy Generative AI applications, including the creation of AI Agents and Agentic Networks.
- Guarantee that the developed solutions have a measurable impact on business, are scalable, and can be tailored to various product needs.
- Optimize ML models and existing data pipelines for enhanced performance, ensuring proper model versioning and experiment management.
- Manage code repositories using version control systems like Bitbucket or Git to uphold code quality and facilitate collaborative workflows.
- Keep abreast of the latest advancements in Data Science and explore their applicability.
