Machine Learning Engineer (Engineer Machine Learning 3) - 21072

$114,634 - $114,634/Yr

HII's Mission Technologies division - Washington, DC

Full-time - Mid Level

Washington, DC

5,001-10,000 employees

About the position

HII-Mission Technologies is seeking a Machine Learning Engineer to support the creation and management of end-to-end generative AI solutions. This remote position involves occasional travel to the office in Annapolis Junction, MD, and focuses on AI and digital modernization for both internal and external clients, with applications ranging from intelligence analysis to manufacturing optimization.

Responsibilities

• Research, develop, and apply machine learning and deep learning algorithms for operational deployment.
• Rapidly design and create prototype applications to demonstrate AI capabilities and transition them to production.
• Engage with internal clients and external customers as a subject matter expert in AI and advanced software solutions, focusing on cloud technologies and generative AI.
• Support multiple projects for different clients in parallel.
• Collaborate with individuals at varying levels of technical skills.
• Communicate complex strategies and technical concepts to non-technical stakeholders and leaders.

Requirements

• 5 years relevant experience with a Bachelor's in a related field; 3 years relevant experience with a Master's; 0 years experience with a PhD or Juris Doctorate; or High School Diploma with 9 years relevant experience.
• Proficiency in programming languages: Python, C++.
• Experience with containerized development and deployment: Docker, Rancher, and/or K8s.
• Knowledge of cloud engineering: Azure, AWS, or GCP.
• Experience with databases: SQL, noSQL, and/or vector databases.
• Familiarity with CI/CD pipeline management.
• Understanding of DevSecOps design/deployment principles.

Nice-to-haves

• Bachelor's in Data Science, Computer Science, Mathematics, or equivalent technologies/experience.
• Experience with UI/UX development: JavaScript (Angular, React).
• Backend development experience: REST API, web apps, microservices.
• Experience creating or supporting development of generative AI products or platforms, particularly multimodal use-cases.
• Familiarity with latest open source LLMs and relevant software frameworks.
• Experience supporting feature development and maintenance for an enterprise-scale application.

Benefits

• Best-in-class medical, dental, and vision plan choices.
• Wellness resources and employee assistance programs.
• Savings Plan Options (401(k)).
• Financial planning tools and life insurance.
• Employee discounts.
• Paid holidays and paid time off.
• Tuition reimbursement.
• Early childhood and post-secondary education scholarships.