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Role Description

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.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical discipline.
• 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.

Requirements

• 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

• Pantheon Data is committed to providing its employees with competitive salaries and benefits in order to increase employee satisfaction and productivity.
• 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.
• Tuition assistance may be available for continuing education expenses and certifications related to their position.