Remote Machine Learning Engineer Jobs in Denver, CO

Remote Work:
No
Job Number:
R0241258
Location:
Aurora,CO,US
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Software Engineer
The Opportunity:
As an embedded software engineer, you know how to create and maintain crucial pieces of software. You use your knowledge to write and optimize code that creates a bridge between pieces of software, allowing them to communicate. We're looking for an experienced embedded software engineer like you to develop technology for our clients' most important mission-forward challenges.
As a senior embedded software engineer at Booz Allen, you'll support the development of systems, sites, and tools for our clients. Using the latest tools and technology, you'll write, test, and edit code in support of the team's overall results. You'll expand your skills as you develop and reverse engineer software that supports hardware functionality on a wide range of devices, as well as configure solutions based on the platform being used. You'll work with other team leaders to troubleshoot and correct operational issues, as well as with cybersecurity specialists to ensure that the software you're creating is secure.
Work with us to further your tech career and make a meaningful difference.
Join us. The world can't wait.
You Have:

• Experience with developing containerized applications, including design, authentication, and implementation
• Experience developing prompts, tools, and agents with LLMs
• Experience with developing software using cloud technologies
• Experience acquiring client requirements and resolving workflow problems through automation optimization
• Experience with version control tools, including Git
• Active TS/SCI clearance; willingness to take a polygraph exam
• HS diploma or GED and 10+ years of experience in software engineering, or Bachelor's degree and 5+ years of experience in software engineering

Nice If You Have:

• Experience with AWS Bedrock, SageMaker, Lambda, API Gateway, DynamoDB, S3, and IAM
• Experience with Kubernetes architecture, deployment, management, container orchestration, monitoring, logging, and troubleshooting
• Experience with IaC tools like Helm and Terraform
• Experience with leveraging MLOps platforms and Machine Learning (ML) CI/CD workflows to manage datasets and model training, deployment, and monitoring
• Experience developing RESTful APIs in Python or Java
• Experience with design and implementation, including building, containerizing, and deploying end-to-end automated data and ML pipelines, within a Cloud environment
• Master's degree in a Technology related field
• AWS Certified Solutions Architect or Developer Certification
• Security+ CE, SSCP, CCNA-Security, or GSEC Certification

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,900.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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