Senior Machine Learning Engineer

Pantheon Data

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profile Job Location:

Charlotte, VT - USA

profile Yearly Salary: USD 140000 - 180000
Posted on: 9 hours ago
Vacancies: 1 Vacancy

Job Summary

Company Overview:

Pantheon Data (previously known as The Kenific Group Inc. prior to 2023) 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. Pantheon Data 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 the U.S. Postal Service (USPS). In the past 10 years we have grown our service offerings to include 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.

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:

  • Bachelors 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

Preferred Skills:

  • 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 required - must be able to obtain DoD Secret Clearance.

Work Location:

Remote

Compensation:

The salary range for this position is $140000 - $180000. 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 some cases tuition assistance may be available for continuing education expenses and certifications related to their position. Additional details may be found at 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 OFCCPs 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 or by phone .

This company uses E-Verify to confirm each employees work authorization. For more information click here E-Verify Participation Poster


Required Experience:

Senior IC

Company Overview:Pantheon Data (previously known as The Kenific Group Inc. prior to 2023) 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. Pantheon Data has used ...
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Key Skills

  • Industrial Maintenance
  • Machining
  • Mechanical Knowledge
  • CNC
  • Precision Measuring Instruments
  • Schematics
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  • Hydraulics
  • Plastics Injection Molding
  • Programmable Logic Controllers
  • Manufacturing
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