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AI / Machine Learning Engineer

Company: ERPi
Location: arlington
Posted on: May 3, 2021

Job Description:

ERPi is proud to support the Joint Artificial Intelligence Center (JAIC)'s Support Services program. This program is enabling JAIC to lead the management and implementation of AI across DoD.

In support of this effort, ERPi is searching for an Artificial Intelligence / Machine Learning Engineer, which will require the selected professional to be able to:

  • Use machine learning and analytical techniques to create scalable solutions for business problems

  • Drive real-time model implementations and new feature creations as part of JAIC team

  • Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation

  • Collaborate with data engineers, data scientists, and infrastructure engineers to develop and deploy and model pipelines, applying ML and data science techniques in design distributed and large-scale processing systems

  • Coordinate science and technology research and development (R&D) outreach, and engagement efforts to help advance sensitive ML capability development efforts via technical leadership of external ML contracts

  • Write production-level, re-usable, easy-to-interpret code in R, Python (required), Java, C++, or other languages, while engaging in collaborative code reviews and providing technical feedback to improve existing ML model performance

Required Skills/Experience:

  • An active Secret level security clearance

  • Bachelors Degree in data science, machine learning, statistics, computer science, applied math, or related highly quantitative field

  • 4-8 years of research experience in machine learning, speed, multimodal sensing, or related areas

  • Experience with natural language processing (NLP) model or deep learning (DL) model building

  • Experience with two or more coding languages, including Python

  • Extensive knowledge of machine learning model evaluation metrics and best practices

Desired Skills/Experience:

  • Masters degree or PhD in data science, machine learning, statistics, computer science, applied math, or related highly quantitative field

  • 8+ years of research experience in machine learning, speed, multimodal sensing, or related areas

Enterprise Resource Performance Inc. is a professional services management rm that delivers strategic, advisory, technological, and implementation support services to Federal Agencies. ERPi offers talented candidates the opportunity to perform project management, strategic planning, process improvement, quality management, data analysis, and human capital planning on some of the Federal governments largest and most complex business challenges. Our work environment is highly entrepreneurial and is staffed with some of the brightest and most capable, technical people in the industry. In addition to a comprehensive and flexible benefits program, our offerings include tuition reimbursement, 401(k) profit sharing, industry-leading health plans, generous paid parental leave and matched charitable donations. ERPi is committed to people development and providing opportunities to grow professionally. As an employee, you will work with highly motivated colleagues and have the advantage of a culture that is focused on bringing out the best in you.

Equal Opportunity Employer/Veterans/Disabled

EEO Statement:

It has been and will continue to be a fundamental policy of ERPi not to discriminate on the basis of race, color, religion, sex, gender, sexual orientation, gender identity or expression, pregnancy, parental status, marital status, citizenship, national origin, age, disability, genetic information, military status, veteran status, or any other protected category with respect to recruitment, hiring, training, promotion, and other terms and conditions of employment.

Job ID: 2021-2620

External Company Name: Enterprise Resource Performance, Inc. (ERPi)

Street: 2530 Crystal Drive, Taylor Building, Suite 10054

Keywords: ERPi, Arlington , AI / Machine Learning Engineer, Other , arlington, Virginia

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