Data Capital Inc
ML Engineer
US
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About the role
- Implementation and Optimisation LLMs (Large Language Models), RAGs, and AI agent systems for various business applications.
- Deployment & MLOps Operationalize models with robust CI/CD workflows.
Responsibilities
- Role and Responsibilities Model Development Collaborate with data scientists and SMEs to develop ML models using curated datasets.
- Conduct experiments, prototypes, and proof-of-concepts to validate model performance.
- Create scalable and reusable training pipelines using Databricks notebooks and MLflow.
This listing is sourced directly from Data Capital Inc's careers page and normalized into a canonical job model.