Machine Learning Engineer Job at INSPYR Solutions, Reston, VA

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  • INSPYR Solutions
  • Reston, VA

Job Description

Title: Data Scientist / Machine Learning Engineer
Location: Reston, VA (Hybrid)
Duration: Initial 1 year contract with potential extension
Compensation: $85/hour - $92/hour
Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S.

Skillset / Experience:
Leads proliferation of machine learning and artificial intelligence throughout the enterprise. Identifies and solves business problems by using various numerical techniques, algorithms, and models in statistical modeling, machine learning, operations research, and data mining. Uses advanced analytical capabilities to support data science initiatives. Communicates across product teams and with customers and educates on artificial intelligence, machine learning, and statistical models. Leads interactions between analytics, business units and other departments.

Essential Functions:
20% Leads all data mining and extraction activities and applies algorithms to derive insights.
15% Synthesizes analytical findings for consumption by the teams and senior executives.
15% Leads proliferation of machine learning and artificial intelligence solutions.
15% Applies artificial intelligence techniques to achieve concrete business goals while managing limited resources and constraints around data.
15% Mentors and develops junior data scientists for advanced data analysis.
10% Translates business priorities and creates data science deliverables.
10% Leads implementation of ML/AI/DS best practices for new data products and builds robust and scalable software.

Qualifications:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable
accommodations may be made to enable individuals with disabilities to perform the essential functions.
Education Level: Bachelor's Degree
Education Details: Statistics, Mathematics, Computer Science or related field
Experience: 8 years of relevant work experience.
In lieu of a Bachelor's degree, an additional 4 years of relevant work experience is required in addition to the required work experience.

Preferred Qualifications:
Ability to communicate effectively and document objectives and procedures., Expert
Ability to leverage a wide variety of data science tools and frameworks., Expert
Ability to support data exploration and data analysis tasks in support of analytics objectives., Expert
Knowledge in model evaluation, tuning and performance, operationalization, and scalability of scientific techniques., Expert
Proficiency in statistical modeling applications., Expert
Proficiency in advanced SQL in multiple syntaxes., Expert
Proficiency in AWS Ecosystem and tools
Experience working as an AI/ML Engineer

Our benefits package includes:
  • Comprehensive medical benefits
  • Competitive pay 
  • 401(k) retirement plan
  • …and much more!
About INSPYR Solutions
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients’ business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.

INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.

24-07715

Job Tags

Contract work, Work experience placement, Local area, Flexible hours,

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