• Develop and implement NLP solutions with a focus on LLMs and semantic analysis. • Attend client meetings, offering pre-sales support and NLP-focused technical insights. • Responsiveness via Slack during EST business hours. • Engage in client-facing roles, translating business needs into robust NLP solutions. • Collaborate with cross-functional teams to integrate NLP technologies into broader AI solutions. • Stay updated with the latest NLP developments, enhancing our offerings continuously.

• Work alongside our research team to define new AI applications that solve customer needs and drive business value • Collaborate closely with engineering and design to productize research and continuously improve existing tools • Define and analyze metrics, talk with users weekly, and conduct A/B tests to discover use cases, validate pain points, and prioritize features

Company Overview Pantheon Data (a Kenific Holding company) is a private, small business based in the Washington, DC, area. Pantheon Data was founded in 2011, initially providing acquisition and supply chain management services to the US Coast Guard. Our service offerings have grown in the past ten years, including infrastructure resiliency, contact center operations, information technology, software engineering, program management, strategic communications, engineering, and cybersecurity. We have also grown our customer base to include commercial clients. The company has used this experience to expand our service offerings to other agencies within the Department of Homeland Security (DHS), the Department of Defense (DoD), and other Federal Civilian Agencies. Position Overview We are seeking a Senior Machine Learning Engineer who is an expert in Optical Character Recognition (OCR), Natural Language Processing (NLP), Large Language Models (LLMs), and other deep learning models. Ideally, this candidate would have experience combining these tools in a solution focused on Intelligent Document Processing (IDP). A successful candidate should be able to demonstrate technical proficiency with these mentioned Machine Learning tools and have a proven track record engineering software solutions to process and analyze unstructured data sets. He/she will be able to communicate clearly and effectively with engineers as well as less technical team members (e.g., project managers, customers, executive teams). Responsibilities - Inform product decisions by leveraging technical knowledge of IDP/Generative AI solution architectures and best practices. - Propose forward-thinking ideas in support of data-centric product development. - Develop code for IDP use cases using preferred programming languages to support client requirements. - Utilize LLMs and other Generative AI/Deep Learning algorithms to provide unique solutions for our clients. - Contribute to interdisciplinary solutions that combine data engineering and Artificial Intelligence/Machine Learning to integrate predictive models. - Work within a growing engineering team to support software and systems solutions across customers and projects. - Collaborate with Engineering Team Leads and team members to design and develop solutions that exceed customer expectations. Required Skills and Experience - 5+ years professional, hands-on experience in a Machine Learning engineering (specifically IDP-related) role. - Must be technically proficient in Intelligent Document Processing (including OCR/NLP algorithms), Generative AI and Deep Learning algorithms, and associated technologies, programming languages, and system architectures. - Well-rounded and willing to learn and contribute meaningfully across all technical areas of our project. - Excellent communication skills with the ability to interact clearly and succinctly in written and oral presentations. - Detail-oriented, self-motivated, and organized. - Ability to work effectively remotely in cross-functional teams. - Ability to meet deadlines and produce quality work. - Proficient in Microsoft Suite software including Outlook, Word, Excel, SharePoint, and PowerPoint. Preferred Skills and Experience - Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical discipline. - AWS (Amazon Web Services) and/or Microsoft Azure. Certification(s) a plus. - Working knowledge of Agile Scrum methodology. - JIRA/Confluence - SQL, C# - Relational and non-relational databases such as MongoDB, Python. - Experience in Docker, CI/CD automation is a plus. - Demonstrated ability to mentor junior developers. Clearance Requirements U.S. Citizenship with the ability to obtain and maintain a DoD Secret clearance. Work Location: United States - Remote - Our company prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. - If the position is remote or hybrid, you may periodically work from a Pantheon Data office location or client site. - If this position is assigned to a Pantheon Data office location or client site, you'll work with colleagues and clients in person, as needed for specific client requirements. Compensation The salary range for this position is $140,000 - $180,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Benefits Overview We are always looking for good people! Pantheon Data is committed to providing its employees with competitive salaries and benefits in order to increase employee satisfaction and productivity. In addition to our benefits, we also offer SmartBenefits through the Washington Metro Area Transportation Authority, where you specify an amount of your pre-tax wages be paid directly to your SmarTrip account. In some cases, tuition assistance may be available for continuing education expenses and certifications related to their position. Additional details may be found at https://pantheon-data.com/careers/ Pantheon Data Important Information All qualified applicants will be considered for employment without regard to disability, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law. As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to our Talent Team at Recruiting@pantheon-data.com or by phone (571) 363-4020. This company uses E-Verify to confirm each employee's work authorization. For more information, click here E-Verify Participation Poster

• Design and implement AI-powered systems using a mix of classical ML techniques and modern LLM-based approaches, frequently leveraging managed Azure AI/ML services as building blocks. • Apply a range of techniques—from classical ML to LLM-based approaches (RAG, prompt engineering, fine-tuning, semantic search)—with a strong focus on reliability, performance, and maintainability • Collaborate closely with product managers and designers to deliver high-quality, customer-focused features. • Write clean, testable, well-documented code and contribute to shared engineering standards. • Author clear design docs that explain system behavior, tradeoffs, and long-term implications. • Debug and resolve production issues across application code, data, and ML components. • Evaluate ML systems using metrics and real-world signals, and iteratively improve them. • Participate fully in an Agile development lifecycle, contributing to planning, reviews, and retrospectives. • Stay current on ML and software engineering best practices, adopting new tools thoughtfully and pragmatically.