Machine Learning Developer

Location Arlington, VA, US

Date Posted 2026-05-05

Category Software

Subcategory SW Engineer

Schedule Full-Time

Shift Day Job

Travel Yes - 10% of the time

Minimum Clearance Required Secret

Clearance Level Must Be Able to Obtain None

Potential for Remote Work ORA_HYBRID

Description

SAIC is seeking a talented and experienced Machine Learning Developer to join our dynamic team.

This position is hybrid in Arlington, VA with 2-3 days per week onsite at the Pentagon or the Mark Center.

The ideal candidate will have a strong background in computer science, software engineering, and experience with machine learning algorithms and frameworks. The Machine Learning Developer will collaborate with software engineers to create innovative ML/AI solutions, improve predictive models, and deploy machine learning systems into production.

Key Responsibilities

• Develop and implement machine learning models and algorithms to provide suggested values to readiness reports for our DOD client.
• Refine data collection processes and improve data quality.
• Design and develop scalable machine learning solutions for various applications.
• Work with software developers to integrate machine learning models into production systems.
• Conduct research to identify new approaches and methods for machine learning and AI.
• Stay updated with the latest trends and advancements in machine learning and AI.
• Document processes, codes, and workflows for future reference and reproducibility.
• Provide support and maintenance for deployed machine learning systems.

Required Education

• Bachelors and five (5) years or more experience; Masters and three (3) years or more experience; PhD and zero (0) years related experience; four (4) years of experience considered in lieu of degree.

• Proven experience designing, developing, and deploying OpenAI solutions as a Machine Learning Developer or in a similar role.
• Strong programming skills in Python, R, C#, Java or similar languages.
• Experience with deep learning techniques and models.
• Expertise in natural language processing (NLP) or computer vision.
• Proficiency with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-Learn, etc.
• Experience with data preprocessing, data mining, and data visualization techniques.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.
• Familiarity with software development best practices and source control (e.g., Git).

• Active Secret clearance is required for this position.