Machine Learning Engineer III
About The Position
Incorporated in 2002, The Marlin Alliance is a digital transformation company dedicated to ensuring clients compete and win in tomorrow's digital world. They specialize in creating technical solutions for seamless execution of automated business processes and the generation of governed, machine-consumable data. Their team provides cutting-edge, cross-disciplinary solutions from strategic planning to advanced analytics and cybersecurity. They seek motivated professionals who share an agile, solution-oriented mindset and are ready to deliver real, practical results. The Machine Learning Engineer III designs and implements sophisticated models and algorithms tailored for naval applications, leveraging expertise in modern machine learning methods and cloud-native development. This technical lead oversees the full lifecycle of AI solutions, from initial architectural design to deployment within distributed systems and operational Navy environments. The role involves collaborating across multidisciplinary teams and applying rigorous software engineering standards to ensure the delivery of scalable, mission-critical intelligence that meets complex maritime requirements.
Requirements
- 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., Docker, Kubernetes).
- 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 distributed computing and parallel processing.
- Experience with CI/CD pipelines and automation tools (GitHub Actions, GitLab CI, Jenkins).
- Strong analytical, problem-solving, and communication skills.
- Ability to work effectively in a collaborative team environment.
- Previous experience supporting government agencies or military organizations.
- Ability to safely carry tools, equipment, and materials aboard ship, including ascending and descending shipboard ladders(stairwells) and navigating confined spaces while maintaining required points of contact.
- Tools and equipment will weigh no more than 50 lbs.
- Ability to perform required work aboard Navy vessels and in shipboard environments, including navigating narrow passageways, ascending, and descending ladders (stairwells), working on elevated platforms, and operating in variable sea conditions.
- Ability to perform activities on a reoccurring basis during shipboard operations or testing evolutions.
- Ability to comply with Navy safety requirements and wear required personal protective equipment (PPE).
- US Citizenship is required.
- No Dual Citizenship.
- Active Secret clearance required.
- Bachelor of Science degree in Artificial Intelligence, Data Science, Computer Science, Machine Learning, or Statistics.
Nice To Haves
- 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.
- Experience supporting NAVWAR, NIWC Pacific, or other Navy C2/ISR programs.
- 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.
- TS SCI clearance highly preferred.
Responsibilities
- 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.
- Provide documentation, technical reports, and engineering artifacts consistent with PMAT and government standards.
- Stay current with advancements in machine learning, data science, and emerging technologies relevant to naval and DoD applications.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Number of Employees
11-50 employees
