AI/ML Software Engineer

Summary

Description & Requirements

Maximus is a trusted federal partner supporting mission-critical programs across national security, defense, and public service delivery. Recent contract awards in cybersecurity and operational readiness underscore Maximus' role as a reliable prime for high-impact government missions. Joining Maximus means contributing to meaningful work in fast-paced environments alongside professionals committed to service, accountability, and results.

This position is contingent upon contract award and position availability. Selected candidates will receive a contingent offer of employment, which will become final only upon successful contract award to Maximus, availability of the position, and receipt of authorization to proceed.

Job-Specific Essential Duties and Responsibilities:

Designs, develops, trains, evaluates, and integrates AI/ML models and algorithms supporting Government operational systems.

- Prepares and structures data for machine learning pipelines, feature engineering, and model lifecycle management.

- Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts.

- Integrates AI/ML capabilities into software applications and system architectures using APIs and microservices.

- Supports DevSecOps activities including CI/CD pipelines, automated testing, and secure deployment.

- Ensures solutions comply with DoD cybersecurity, RMF, data protection, and Responsible AI policies.

- Supports system accreditation, documentation, testing, and evaluation activities.

- Collaborates with Government and contractor teams across development, integration, and readiness environments.

- Participates in Agile program increment (PI) planning and activities requiring periodic travels.

Job-Specific Minimum Requirements:

- Active TS/SCI clearance required.

- Bachelor's degree in related field required.
- A master's degree may substitute for 2 years of experience.
- Must be able to report on-site in San Antonio, TX up to five days per week based on customer requirements.

- 5 years of experience in the functional area.

- 3 years of demonstrated experience designing, developing, training, and evaluating machine learning models using industry-standard frameworks (e.g., TensorFlow, PyTorch, scikit-learn).

- 3 years of experience with programming languages commonly used in AI/ML development, such as Python, and supporting languages (e.g., SQL, Java, C++).

- 3 years demonstrated experience of machine learning concepts, including supervised and unsupervised learning, model evaluation techniques, and feature engineering.

- Demonstrated experience in preparing, conducting, and documenting various systems tests and results to verify system operability and compliance with project standards and requirements.

- 3 years of experience testing web-based applications.

- 3 years of experience participating in software development programs or projects.

- Demonstrated experience with relational databases, RESTful API development and communication, and system integrations.

- 5 years of experience with Jenkins and GitLab.

- Experience structuring data so it can be integrated into machine learning technologies or AI capabilities.

Preferred Skills and Qualifications:

- Experience using Agile Test-Driven Development.

- Experience integrating into DoD DevSecOps environments.

- 5 years of experience with CI/CD software development.

- Experience supporting RMF accreditation and security assessment activities.

- Experience with model monitoring, explainability, and Responsible AI practices.

- Experience integrating AI/ML services into operational dashboards or decision support platforms.

#techjobs #clearance #veteranspage #USCYBERCOM

Minimum Requirements

TCS195, T3, Band 6

Equal Opportunity Employer: We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.