Support the Corporate Discovery Services mission by evaluating and tuning machine learning models to integrate, reference, make inferences, and consolidate data into a holistic view.
Requirements
- Proficiency with Python (i.e., SciKit-learn, TensorFlow, PyTorch).
- Proficiency with R.
- Experience with GIT.
- Experience with Jupyter Notebooks.
- Ability to provide database administration for relational databases.
- Experience with TensorFlow.
Responsibilities
- Work closely with mission stakeholders to capture requirements and create innovative prototypes.
- Deploy solutions to evaluate and tune machine learning models.
- Creatively write and evolve prototype techniques leveraging diverse architecture and methods.
- Provide database administration, dataflow engineering, data wrangling, and model development.
- Augment, provide context, and/or fine-tune large language models for generative tasks using approaches such as retrieval augmented generation (RAG) and model context protocol (MCP).
Other
- Bachelor's degree plus 8-years of relevant experience or equivalent.
- Active TS/SCI with Polygraph required.
- Ability to collaborate closely with customers.
- Must be able to work in a team environment and communicate effectively.
