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Machine Learning Engineer

ASRC Federal.com

Office

Huntsville, AL, US

Full Time

ASRC Federal is a leading government contractor furthering missions in space, public health and defense. As an Alaska Native owned corporation, our work helps secure an enduring future for our shareholders. Join our team and discover why we are a top veteran employer and Certified Great Place to Work™


ASRC Federal is looking for an experienced AI Engineer – Intermediate to support their work with the U.S. Army Contracting Command (ACC) Chief Information Officer (CIO) G6 at Redstone Arsenal, AL. The AI Engineer will work witha small, focused team of other AI Engineers and a Data Architectsupporting the development and implementation of artificial intelligence (AI) and machine learning (ML) tools across ACC. These tools will enhance decision-making, optimize workflows, improve communication, and automate key project management functions.

The engineer will work oncross-functional collaboration efforts with data scientists, cybersecurity experts, and subject matter experts. Solutions will leverageAI technologies such as Palantir Foundry, Microsoft Copilot, and other enterprise AI platforms.

KEY RESPONSIBILITIES

Work inan AI/ML team supporting enterprise-wide automation, analytics, and insight initiatives

Coordinate technical delivery of AI solutions aligned to mission-specific use cases

Design, develop, train, and optimize machine learning models for real-world application

Evaluate model performance and implement improvements based on user and system feedback

Analyze and preprocess large datasets for use in AI/ML pipelines

Deploy AI/ML models in secure, on-premises environments, ensuring performance and scalability

Collaborate with stakeholders to define project requirements and refine solutions for maximum impact

Use platforms such as Palantir Foundry and Microsoft Copilot to create actionable insights and automation tools


Draft documentation and provide guidance on AI usage to non-technical users

REQUIRED QUALIFICATIONS

Minimum of 3 years of experience working in AI/ML.

Experience with:

Microsoft Office Suite

AI/ML platforms such as Palantir Foundry, Microsoft Copilot, or similar enterprise tools

Experience using HTML, CSS, and JavaScript

Model development, training, optimization, and deployment

Preprocessing and analyzing large data sets

Strong communication and leadership skills, with the ability to manage and guide technical teams

Ability to define and document AI/ML use cases in coordination with stakeholders

PREFERRED QUALIFICATIONS

Experience working inAI/ML initiatives within DoD or federal government environments

Familiarity with Agile development and MLO pspractices

Exposure to Python-based ML libraries (e.g., TensorFlow, scikit-learn, PyTorch)

Experience integrating AI models into enterprise software systems


CLEARANCE LEVEL

Minimum active DoD Secret clearance. Candidates without a minimum of a Secret clearance will not be considered.


EDUCATION REQUIREMENTS


Bachelor’s degree in information technology, Cybersecurity, Data Science, Information Systems, or Computer Science from an ABET-accredited or CAE-designated institution

CERTIFICATION

Security+ Required


WORK ENVIRONMENT AND PHYSICAL DEMANDS:

This role is 100% on-site at Redstone Arsenal, AL.


We invest in the lives of our employees, both in and out of the workplace, by providing competitive pay and benefits packages. Benefits offered may include health care, dental, vision, life insurance; 401(k); education assistance; paid time off including PTO, holidays, and any other paid leave required by law.

EEO Statement
ASRC Federal and its Subsidiaries are Equal Opportunity employers. All qualified applicants will receive consideration for employment without regard to race, gender, color, age, sexual orientation, gender identification, national origin, religion, marital status, ancestry, citizenship, disability, protected veteran status, or any other factor prohibited by applicable law.

Machine Learning Engineer

Office

Huntsville, AL, US

Full Time

September 25, 2025

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ASRC Federal

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