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AI/ML Software Engineer

Parsons Corporation
Posted 2 days ago, valid for 11 days
Location

Aberdeen, MD, US

Salary

$103,500 - $181,100 per year

Contract type

Full Time

Paid Time Off
Life Insurance

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Sonic Summary

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  • Parsons is seeking a seasoned professional with a B.S./M.S. and over 5 years of directly related post-degree experience to support machine learning software solutions.
  • The role involves designing, developing, and maintaining machine learning applications, conducting experiments, and collaborating with cross-functional teams.
  • Candidates should have strong software engineering skills, experience in Python and Bash, and familiarity with AI/ML frameworks and tools.
  • The salary range for this position is between $103,500.00 and $181,100.00, with a focus on employee wellbeing and benefits.
  • U.S. Citizenship is required, and the ability to obtain and maintain a security clearance is necessary for this role.
In a world of possibilities, pursue one with endless opportunities. Imagine Next!

 

At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what’s possible.

 

Job Description:

Parsons is searching for a seasoned professional to support the development, integration, deployment, and ongoing execution of open-source and in-house machine learning software solutions. The ideal candidate will bring strong software engineering experience combined with hands-on expertise in building, evaluating, and optimizing AI/ML systems in production and research-driven environments.

What You'll Be Doing:

  • Support the design, development, integration, testing, and maintenance of machine learning software applications and services.
  • Conduct experiments to evaluate the scalability, efficiency, accuracy, and effectiveness of deployed ML solutions.
  • Develop and refine data processing pipelines, model training workflows, and inference services to support mission and business needs.
  • Collaborate with cross-functional teams to transition AI/ML capabilities from prototype to production-ready systems.
  • Assist with model performance monitoring, debugging, and continuous improvement of deployed solutions.
  • Apply software optimization and data analysis methods to improve system performance, reliability, and maintainability.
  • Contribute to automation, documentation, and repeatable development practices across the AI/ML lifecycle.
  • Support integration of AI/ML components into larger software platforms and operational environments.

What Required Skills You'll Bring:

  • Required B.S./M.S. and 5+ of directly related post-degree professional experience.
  • Experience developing in Python and Bash, leveraging SDLC practices, and working within and administering Linux systems.
  • Experience building, integrating, or supporting machine learning models, data pipelines, or AI-enabled software applications.
  • Understanding of software engineering best practices, including version control, testing, code review, and CI/CD workflows.
  • Familiarity with model evaluation, performance tuning, and troubleshooting in development or production environments.
  • Ability to work both independently and as part of a multi-team development project.
  • Strong problem-solving, analytical, and communication skills.
  • U.S. Citizenship is required.
  • Must be able to obtain and maintain a security clearance.

What Desired Skills You'll Bring:

  • Familiarity with microservices management such as Kubernetes and containerization technologies such as Docker.
  • Experience with ML frameworks and libraries such as PyTorch, TensorFlow, scikit-learn, or similar tools.
  • Familiarity with MLOps concepts, including model versioning, deployment automation, and monitoring.
  • Experience working with cloud-based or hybrid computing environments for AI/ML workloads.
  • Knowledge of distributed computing, scalable data processing, or GPU-accelerated workflows.
  • Experience supporting AI/ML solutions in secure, mission-focused, or government environments.

Security Clearance Requirement:

None

This position is part of our Federal Solutions team.

The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what’s next to deliver the solutions our customers need now.

Salary Range: $103,500.00 - $181,100.00

We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, Employee Stock Ownership Plan (ESOP), 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle!

Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status.

We truly invest and care about our employee’s wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest—APPLY TODAY!

Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to https://www.parsons.com/fraudulent-recruitment/.




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By applying, a Parsons Corporation account will be created for you. Parsons Corporation's Privacy Policy and Terms & Conditions will apply.

SonicJobs' Terms & Conditions and Privacy Policy also apply.