Requisition Number: 21287
Required Travel: 0 - 10%
Employment Type: Full Time/Salaried/Exempt
Anticipated Salary Range: $114,634.00 - $140,000.00
Security Clearance: Secret
Level of Experience: Mid
This opportunity resides with Warfare Systems (WS), a business group within HII's Mission Technologies division. Warfare Systems comprises cyber and mission IT; electronic warfare; and C5ISR systems.
HII works within our nation's intelligence and cyber operations communities to defend our interests in cyberspace and anticipate emerging threats. Our capabilities in cybersecurity, network architecture, reverse engineering, software and hardware development uniquely enable us to support sensitive missions for the U.S. military and federal agency partners.
Meet HII's Mission Technologies Division
Our team of more than 7,000 professionals worldwide delivers all-domain expertise and advanced technologies in service of mission partners across the globe. Mission Technologies is leading the next evolution of national defense - the data evolution - by accelerating a breadth of national security solutions for government and commercial customers. Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class. Find the role that's right for you. Apply today. We look forward to meeting you.
To learn more about Mission Technologies, click here for a short video: https://vimeo.com/732533072
Summary
HII-Mission Technologies is seeking a Machine Learning Engineer to join the team! This will be a remote position, with occasional travel to the team's office in Hanover, MD. This role will support the team in creating and managing end-to-end generative AI solutions. The team supports AI and digital modernization for both internal use and for external clients, with applications from intelligence analysis to manufacturing optimization. Come join our growing team today!
What you will do
Operational AI Implementation: Research, develop, and apply machine learning and deep learning algorithms to be deployed in an operational setting
Full Stack Design and Development: Rapidly design and create prototype applications to demonstrate AI capabilities. Transition prototypes to production by designing and implementing well-architected, scalable software stacks
Client Engagement: Support meetings with internal clients and external customers as a subject matter expert in AI and advanced software solutions, with a focus on cloud technologies and generative AI
Ability to support multiple projects for different clients in parallel
Ability to be collaborative across a wide array of individuals at varying levels of technical skills
Effective writing and speaking ability to communicate complex strategies and technical concepts to non-technical stakeholders and leaders
Additional duties as assigned or required
What we are looking for
5 years relevant experience with Bachelors in related field; 3 years relevant experience with Masters in related field; 0 years experience with PhD or Juris Doctorate in related field; or High School Diploma or equivalent and 9 years relevant experience
Experience with the following:
Programming languages: Python, C+
- Containerized development and deployment: Docker, Rancher, and/or K8s
Cloud engineering: Azure, AWS, or GCP
Databases: SQL, noSQL, and/or vector databases
CI/CD pipeline management
DevSecOps design/deployment principles
Ability to travel to customer location(s) occasionally with advance notice
Training: Must be able to obtain IAT Level 2 Compliance Certification
Clearance: Must possess and maintain a Secret clearance
Bonus points for...
Bachelors in Data Science, Computer Science, Mathematics, or equivalent technologies/experience
Experience with:
UI/UX development: JavaScript (Angular, React)
Backend development: REST API, web apps, microservices
Experience creating or supporting development of generative AI products or platforms, particularly multimodal use-cases
Working familiarity with latest open source LLMs and relevant software frameworks
Experience supporting feature development and maintenance for an enterprise-scale application
Current IAT Level 2 Compliance Certification(s) (Sec +, or other)
Physical Requirements
May require working in an office, industrial, shipboard, or laboratory environment. Capable of climbing ladders and tolerating confined spaces and extreme temperature variances.
The listed salary range for this role is intended as a good faith estimate based on the role's location, expectations, and responsibilities. When extending an offer, HII's Mission Technologies division takes a variety of factors into consideration which include, but are not limited to, the role's function and a candidate's education or training, work experience, and key skills.
Together we are working to ensure a future where everyone can be free and thrive.
Today's challenges are bigger than ever, and the nation needs the best of us. It's why we're focused on hiring, developing and nurturing our diversity. We believe that diversity among our workforce strengthens the organization, stimulates creativity, promotes the exchange of ideas and enriches the work lives of all our employees.
All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law.
Do You Need Assistance?
If you need a reasonable accommodation for any part of the employment process, please send an e-mail to buildyourcareer@hii-co.com and let us know the nature of your request and your contact information. Reasonable accommodations are considered on a case-by-case basis. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this email address. Additionally, you may also call 1-844-849-8463 for assistance. Press #3 for HII Mission Technologies.
