HII
Machine Learning Engineer (Engineer Machine Learning 3) - 21072
HII, Washington, District of Columbia, us, 20022
Washington, DC, District of Columbia, United States
Employment Type: Full Time/Salaried/ExemptAnticipated Salary Range: $114,634.00 - $180,000.00Security Clearance: Ability to ObtainLevel of Experience: MidMeet HII’s Mission Technologies DivisionOur 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.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 Annapolis Junction, 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.Key Responsibilities:
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.Support multiple projects for different clients in parallel.Collaborate across a wide array of individuals at varying levels of technical skills.Effectively communicate complex strategies and technical concepts to non-technical stakeholders and leaders.What you need to have:
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 or equivalent and 9 years relevant experience.Experience with all of 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.Clearance: Must have the ability to obtain and maintain a Secret clearance.Bachelor’s 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. Familiarity with latest open source LLMs and relevant software frameworks.Experience supporting feature development and maintenance for an enterprise-scale application.HII offers competitive benefits such as best-in-class medical, dental and vision plan choices; wellness resources; employee assistance programs; Savings Plan Options (401(k)); financial planning tools; life insurance; employee discounts; paid holidays and paid time off; tuition reimbursement; as well as early childhood and post-secondary education scholarships.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.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.
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Employment Type: Full Time/Salaried/ExemptAnticipated Salary Range: $114,634.00 - $180,000.00Security Clearance: Ability to ObtainLevel of Experience: MidMeet HII’s Mission Technologies DivisionOur 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.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 Annapolis Junction, 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.Key Responsibilities:
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.Support multiple projects for different clients in parallel.Collaborate across a wide array of individuals at varying levels of technical skills.Effectively communicate complex strategies and technical concepts to non-technical stakeholders and leaders.What you need to have:
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 or equivalent and 9 years relevant experience.Experience with all of 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.Clearance: Must have the ability to obtain and maintain a Secret clearance.Bachelor’s 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. Familiarity with latest open source LLMs and relevant software frameworks.Experience supporting feature development and maintenance for an enterprise-scale application.HII offers competitive benefits such as best-in-class medical, dental and vision plan choices; wellness resources; employee assistance programs; Savings Plan Options (401(k)); financial planning tools; life insurance; employee discounts; paid holidays and paid time off; tuition reimbursement; as well as early childhood and post-secondary education scholarships.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.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.
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