- Santiago +1 more
- Hybrid
- Full-time · Associate
- 1+ years
Design, implement and refine models that turn multi-modal data into production solutions across a wide range of industries and business problems.
Locations (2)
- Santiago
- Sao Paulo
Responsibilities
- Build, test, and refine machine learning and analytical models that power production systems across a range of problem types, such as pricing and personalization engines, demand forecasting, and predictive maintenance, taking them from exploration and feature engineering through validation and deployment
- Work with client data engineering and analytics teams to acquire, extract, and prepare data for modeling at scale, including cleaning, enriching, de-duping, and joining structured, semi-structured, and unstructured data
- Partner with consulting teams to translate client business problems into analytical approaches and help scope the work
- Use AI tools with guardrails to accelerate your work, from exploration and prototyping through implementation
- Apply generative AI where it offers a better path to a client solution, using techniques such as prompt engineering and retrieval-augmented generation