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Machine Learning Data Engineer

M I Technical Solutions, Inc.
Chesapeake, VA Full Time
POSTED ON 1/23/2025
AVAILABLE BEFORE 4/19/2025

MI Technical Solutions is a Woman-Owned Small Business (WOSB) comprised of a broad range of talented employees that provide diversified engineering and technical support services since 2004! Our team works tirelessly to build a respected, results-oriented brand. We are headquartered in Chesapeake, VA with employees located near each of the Navy Fleet Centers within the continental United States (San Diego, Jacksonville, Seattle, New England, Norfolk) as well as Hawaii and Japan.

Position Description : MI Technical Solutions is seeking a Machine Learning Data Engineer to join its team. In this role, the Machine Learning Data Engineer is responsible for data wrangling and analysis, development and testing of models and algorithms, and documenting findings of research and analysis in support of Machine Learning solutions.

Responsibilities :

  • Support data curation, maintenance, and production processing of collected datasets
  • Develop and maintain user interfaces for data gathering and review
  • Develop machine learning applications according to project requirements
  • Run machine learning tests and experiments
  • Monitor and optimize the quality and performance of data collections, models, services, and tools
  • Design, build, test, blend, manage, and optimize all types of relevant data utilizing numerous sources

Requirements :

  • DoD Secret Clearance
  • BS degree or higher in Computer Science, Data Science, Mathematics, or a related field
  • Years of Experience : 5 or more years of experience in Machine Learning, Data Engineering, or related fields
  • Experience with data curation, cleaning, storage, management, and governance
  • Experience with common Machine Learning and programming languages including Python and associated libraries such as NumPy, matplotlib, and Keras / Tensorflow, C , C#, SQL, and JavaScript
  • Ability to work in fast paced collaborative team-based environments with both local and remote colleagues
  • Effective writing, speaking, and analytical skills
  • We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status

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