Pantheon Data
Senior Machine Learning Engineer
Pantheon Data, Washington, District of Columbia, us, 20022
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.
Requirements
Bachelor's degree in computer science, engineering, mathematics, or a related technical discipline5+ years professional, hands-on experience in a Machine Learning engineering (specifically IDP-related) roleMust 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 projectExcellent communication skills with the ability to interact clearly and succinctly in written and oral presentations.Detail-oriented, self-motivated, and organized
Preferred Skills
AWS (Amazon Web Services) and/or Microsoft Azure. Certification(s) a plus.Working knowledge of Agile Scrum methodologyJIRA/ConfluenceSQL, C#relational and non-relational databases such as MongoDB, PythonExperience in Docker, CI/CD automation is a plus.Demonstrated ability to mentor junior developers.
Clearance Requirements
U.S. citizenship required - must be able to obtain DoD Secret Clearance.
Work Location:
Remote
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 Is An Equal Employment Opportunity Employer
Pantheon Data is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity and Affirmative Action Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class.
Equal opportunity legal notices can be viewed on the following PDF: Know Your Rights: Workplace Discrimination is Illegal. You may also view the OFCCP's Pay Transparency Nondiscrimination Provision.
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#J-18808-Ljbffr
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.
Requirements
Bachelor's degree in computer science, engineering, mathematics, or a related technical discipline5+ years professional, hands-on experience in a Machine Learning engineering (specifically IDP-related) roleMust 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 projectExcellent communication skills with the ability to interact clearly and succinctly in written and oral presentations.Detail-oriented, self-motivated, and organized
Preferred Skills
AWS (Amazon Web Services) and/or Microsoft Azure. Certification(s) a plus.Working knowledge of Agile Scrum methodologyJIRA/ConfluenceSQL, C#relational and non-relational databases such as MongoDB, PythonExperience in Docker, CI/CD automation is a plus.Demonstrated ability to mentor junior developers.
Clearance Requirements
U.S. citizenship required - must be able to obtain DoD Secret Clearance.
Work Location:
Remote
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 Is An Equal Employment Opportunity Employer
Pantheon Data is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity and Affirmative Action Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class.
Equal opportunity legal notices can be viewed on the following PDF: Know Your Rights: Workplace Discrimination is Illegal. You may also view the OFCCP's Pay Transparency Nondiscrimination Provision.
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#J-18808-Ljbffr