Data Scientist - Orbis Operations
Washington, DC
About the Job
Description
Orbis Operations is seeking an experienced Data Scientist with a focus on training, building, and implementing Large Language Models (LLMs) to join our innovative team. The successful candidate will work directly with government clients to leverage LLMs in mission-critical applications, driving impactful results through advanced natural language processing techniques. This role requires a candidate with deep expertise in developing and deploying LLMs within government environments, with a passion for cutting-edge data science and artificial intelligence technologies.
Key Responsibilities
- Design, build, and implement Large Language Models (LLMs) to solve complex problems in government settings, ensuring alignment with mission objectives.
- Collaborate with cross-functional teams, including data engineers, software developers, and government stakeholders, to understand requirements and develop tailored LLM solutions.
- Perform data preprocessing, cleaning, and transformation to support LLM training, ensuring data quality and relevance to specific government applications.
- Conduct model fine-tuning, optimization, and validation to ensure high performance, accuracy, and efficiency in real-world scenarios.
- Stay up to date with the latest advancements in AI, machine learning, and natural language processing technologies, incorporating them into current projects where applicable.
- Present findings, model performance, and actionable insights to technical and non-technical government stakeholders.
- Support the deployment and monitoring of LLMs in production environments, troubleshooting and iterating models as necessary.
- Mentor junior data scientists and provide guidance on best practices in machine learning, natural language processing, and AI ethics.
This position has no supervisory responsibilities
Required Qualifications
Preferred Qualifications:
- U.S. Citizenship
- Experience working on government projects related to national security, defense, or intelligence.
- Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) and tools for scaling machine learning models in production environments.
- Knowledge of AI ethics, responsible AI practices, and explainable AI methodologies.
- Current or previous Top Secret/SCI clearance is highly desirable.
- Prolonged periods of sitting at a desk and working on a computer.
- Routine video conference and/or in-person meetings.
- Ability to attend planned meetings within the Washington Metro Area region.
Source : Orbis Operations
