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AI/ML Subject Matter Expert with Security Clearance

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ASRC Federal

2024-10-04 00:47:09

Job location Reston, Virginia, United States

Job type: fulltime

Job industry: I.T. & Communications

Job description

ASRC Federal is seeking experienced Zero Trust AI/ML Governance SME in support of a new government program. This program will support and augment ongoing efforts to achieve, maintain , continuously improve, and integrate ZT operational capabilities and solutions across ZT pillars. The purpose of this pro gram is to provide enhanced capabilities and integration of operational capabilities and services across ZT pillars to accelerate ZT maturity beyond its current rate, and achieve and maintain White House, OMB , and DHS ZT maturity goals over the next two years . The Zero Trust AI/ML Governance SME will understand the application of d ata science to include the roles of AI, ML, SOAR, API based, ragged base, and the feed ing of natural language results into models . The ideal candidate will have previous Federal agency experience with developing and maintaining data-driven software solutions, implementing AI/ML models, and staying abreast of industry advancements. This position is REMOTE . Responsibilities: Coding, data wrangling, data visualization, and presentation of historical and projected future data in a Command and Control (C2) environment Develop and maintain data driven software solutions to support business needs. Develop,test, and implement artificial intelligence (AI) / machine learning (ML) models/tools to improve business processes. Stay up to date with the latest industry trend and advances in AI/ML technologies to identify potential technological resources to develop, maintain , and enhance efficient data systems Support implementation, testing, and monitoring for data processing pipelinesand AI/ML learning products. Collaborate with cross-functional teams to identify business needs and provide technical solutions. Analyze and interpret data to extract meaningful insights using C2 and AI/ML tools. Ensure data quality and integrity throughout the development process and into execution. ASRC Federal Advantages Learning and Development: After 90 days of employment, regular full-time employees are eligible to participate in our professional development program including funds annually to go towards Associate's, Bachelor's or Graduate Degrees; Industry standard professional certification; A professional certificate program; Continuing education classes; and Registration fees to attend professional conferences. Employee Resource Groups: That provide our employees the opportunity to collaborate and network with colleges with common interests, backgrounds, and experiences including Women's Impact Network (WIN), Multicultural ERG, Military Community (MILCOM), and Pride ERG for LGBTQ+ employees and allies. Purpose Driven Careers: Certified Great Place to Work ; Certified Military Times' 'Best for Vets' and 'Top 25 Veteran Employer.' Benefits: Comprehensive insurance packages including medical, dental, vision, life insurance, and short term/long term disability, as well as a 401K with generous company match and immediate vesting. Holidays: 11 paid holidays. Requirements: Master's degree in computer science or related field . 10 years of professional IT experience 3+ years' experience with software development 2+ years' experience with developing and implementing A.I. models using machine learning software Must be a US Citizen able to obtain an agency-specific suitability / public trust clearance prior to starting . Desired Skills and Qualifications: Cloud experience specifically, AWS, Google, or Azure. Familiarity with DevSecOps practices, CI/CD pipelines, and automated testing within the ServiceNow environment. Experience designing and implementing Machine Learning infrastructure to train and deploy large language models Knowledge of Agile software development using Scrum Familiarity with data structures, storage systems, cloud infrastructure, front-end frameworks, and other technical tools Proficiency with any of the major deep learning frameworks.

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