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Machine Learning Operations EngineerThe Opportunity: Are you looking for an opportunity to not just develop software, but to architect, develop, and implement a system that will have a positive impact? What if you could find a position that is tailor-made for your mix of data science, engineering, and communication skills? Are you excited about the opportunity to work on some of the most impactful and visible projects across the Department of Defense? Apply to work for our team! Efficient software development and machine learning teams make the most of their time by limiting the activities that take developers away from writing their code. That's why we need you, a Machine Learning Operations (MLOps) engineer, to help us shorten the time it takes to get critical tools developed and into the hands of developers utilizing our products.
As a MLOps engineer on our team, you'll help streamline our software development life cycle from requirements to monitoring in production. You'll incorporate open-source tools, automation, and Cloud resources to cut down on tedious, boring tasks, and free up the team's developers to do what they do best – innovate. You'll work with the team to implement continuous integration and delivery to limit manual testing and troubleshooting. This is an opportunity to build your experience in Cloud-Native Technologies, DevOps, Machine Learning, and Kubernetes while developing products that will support our agile teams to move faster and deliver more to those on the front lines. Expand your experience with software development on an incredibly talented and collaborative team that works together to make the best software solutions. Join our team as we build tools to transform the future.
Join us. The world can't wait.
You Have: 2+ years of experience with machine learning, data science, software engineering, data analytics, or DevOpsExperience building and deploying machine learning modelsExperience building and implementing production-grade solutions with Docker or KubernetesExperience with programming languages for data science, including Python or JavaSecret clearanceBachelor's degreeNice If You Have: Experience architecting and deploying AI solutions centered around the use of generative models, including large language models (LLMs)Experience with CI/CD pipelines, including Jenkins or Git ActionsExperience with Cloud platforms, including AWS, Google Cloud, or Azure, and associated data platforms, including Databricks, AWS SageMaker, Azure ML, or DataRobotExperience with CI/CD tooling, including Gitlab, CI/CD, and TektonExperience with model serving solutions, including KServe and Seldon CoreExperience with enterprise data platformsExperience with automation technologies, including Ansible and TerraformTS/SCI clearanceClearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret 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 $75,600.00 to $172,000.00 (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.
Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.
If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility.If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role.EEO Commitment We're an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.
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