Über
PMAT is an innovative small business founded with a passion for developing forward-leaning solutions from exceptional people that increase the mission's capability. We focus on designing and building impactful digital solutions that utilize modern cloud, data, and software concepts. Our passion is working on complex and progressive challenges such as edge platform computing, containerizing legacy platforms, distributed data platforms, or heterogeneous data analysis. We tap into collective intelligence, acknowledging that the most brilliant people may not be in the room. We are passionate about mission-centric design and delivering effective capabilities to and for the warfighter.
About the Role:
PMAT is seeking a Senior Machine Learning Engineer to design, develop, and implement advanced machine learning models and algorithms in support of naval applications. This role requires deep technical expertise in modern machine learning methods, distributed systems, cloud-native development, and software engineering best practices. The Senior ML Engineer will collaborate with multidisciplinary teams to deliver mission-focused AI solutions that integrate into operational Navy environments.
Design, develop, and implement machine learning models and algorithms for naval applications. Develop and deploy algorithms, mathematical models, and machine learning models into real-world operational environments. Perform data preprocessing, feature engineering, model evaluation, and validation. Collaborate with engineers, data scientists, and mission stakeholders to align ML solutions with operational requirements. Develop cloud-native ML pipelines using AWS, Azure, Docker, Kubernetes, or equivalent platforms. Implement ML solutions using frameworks such as TensorFlow, PyTorch, and scikit-learn. Contribute to distributed computing and parallel processing approaches to optimize ML model performance. Participate in CI/CD pipeline development, automation, and DevSecOps workflows. Apply cybersecurity principles in the design and deployment of machine learning systems. Stay current with advancements in machine learning, data science, and emerging technologies relevant to naval and DoD applications.
At least 10 years of experience as a data scientist, data engineer, geospatial engineer, machine learning engineer, or software engineer. Proven experience developing and deploying algorithms, mathematical models, or machine learning models in real-world applications. Strong programming skills in Python. Familiarity with cloud platforms (e.g., AWS, Azure) or containerization technologies (e.g., Familiarity with software engineering best practices, including Git. Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn. Strong programming skills in Java, C++, Go, or Rust. Experience with CI/CD pipelines and automation tools (GitHub Actions, GitLab CI, Jenkins). Experience with cloud-native architecture and software API design. Experience integrating machine learning into operational DoD systems or edge computing environments. Familiarity with DoD AI strategies, MLOps, or data engineering in secure environments. Bachelor of Science degree in Artificial Intelligence, Data Science, Computer Science, Machine Learning, or Statistics. Advanced degrees (MS/PhD) in related fields are preferred but not required. Additional certifications in cloud, cybersecurity, AI/ML, or DevSecOps are a plus if required by contract.
Travel:
~ Travel required up to 15% to Arlington, VA; or other customer locations as needed.
In some cases, work in a government facility may be required. Travel may be required for customer engagement, team coordination, and mission execution.
We are committed to non-discrimination on any protected basis, such as disability and veteran status, or any other basis covered under applicable law. #
Sprachkenntnisse
- English
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