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Machine Learning Developer

Full Time Remote

Summary

Job Description

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. 

Qualifications

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.

Qualifications:

  • 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).

Clearance:

  • Active Secret clearance is required for this position.

About SAIC

SAIC

SAIC (Science Applications International Corporation) is one of the largest technology integrators supporting the U.S. Department of Defense, intelligence community, and federal civilian agencies. The company delivers mission-critical services across engineering, IT modernization, cybersecurity, intelligence, and systems integration, helping government customers operate and secure complex national security infrastructure at scale.

For job seekers, SAIC offers a wide range of career opportunities in software engineering, cybersecurity, cloud computing, systems engineering, data analytics, intelligence analysis, program management, and mission support. The company is especially attractive to veterans, cleared professionals, and technologists seeking stable, long-term roles embedded in high-impact government programs across defense and intelligence missions.

Unlike defense manufacturers that build physical platforms, SAIC focuses on integrating, modernizing, and operating the digital and information systems that support government missions. Employees often work on large-scale federal programs involving network modernization, space and satellite systems support, cyber defense operations, and advanced data-driven decision-making tools used across defense and intelligence agencies.

As federal agencies continue investing heavily in cybersecurity, AI, cloud infrastructure, and digital transformation, SAIC remains one of the most important employers in the government services sector. For professionals seeking mission-driven work with strong stability and exposure to complex national security programs, SAIC continues to stand out as a leading destination in defense and federal technology services.

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