Platform Data Scientist

RedBeard Solutions • Washington D.C., WA

5d • Remote

About The Position

Building a next-generation AI platform supporting mission-critical government and defense initiatives. This is an opportunity to join a highly technical team working on advanced AI capabilities that leverage Generative AI, large language models, and knowledge graphs to solve complex real-world problems. If you're passionate about building production-grade AI solutions and enjoy working at the intersection of data science, software engineering, and emerging AI technologies, we'd love to speak with you.

Requirements

• U.S. Citizenship is required.
• Active Secret Security Clearance (Top Secret preferred).
• 3+ years of professional experience as a Data Scientist.
• Prior experience building enterprise AI or data platforms is highly desirable.
• Strong understanding of NLP, Transformers, LLMs, and Generative AI.
• Hands-on experience working with OpenAI GPT models and multimodal LLMs.
• Experience building end-to-end machine learning pipelines using Python.
• Knowledge of knowledge graphs, ontologies, semantic modeling, or graph-based data solutions.
• Experience using Git and modern software development practices.
• Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders.

Nice To Haves

• Experience supporting Defense or Public Sector programs.
• Experience working with data across classified environments.
• Comfortable collaborating within cross-functional engineering and product teams.
• A systems thinker who enjoys solving complex technical challenges and building scalable AI solutions from concept through production.

Responsibilities

• Develop and deploy AI and machine learning solutions that transform large volumes of structured and unstructured data into actionable insights.
• Design, build, and optimize production-ready NLP and Generative AI pipelines using modern LLM technologies.
• Work with multimodal language models to support intelligent search, knowledge discovery, content generation, and automation.
• Build predictive models, recommendation engines, classification models, and semantic retrieval solutions.
• Create and maintain knowledge graphs and ontologies that improve how enterprise data is connected and consumed.
• Partner closely with software engineers, product teams, and domain experts to move AI solutions from experimentation into production.
• Continuously evaluate, fine-tune, and improve model performance while maintaining high standards for quality and scalability.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed