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Machine Learning Operations Engineer
2 months ago
The 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 DevOps, machine learning, and engineering 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 an MLOps engineer on our team, you will help deploy, maintain, and monitor our AI and ML solutions across a variety of client spaces. You will be responsible for generating and managing reusable CI/CD pipelines that allow our infrastructure to be rapidly prototyped and deployed. You'll utilize cloud-native and open-source frameworks to allow our software to be automatically and continuously tested, built, and deployed. This opportunity will allow you to become an integral part of an agile team by cutting down time spent on manual testing, debugging, and deployment. In doing so, our team will become more responsive and efficient to ever-changing client needs, while also becoming empowered to ship robust AI and ML products. Expand your experience with MLOps on an incredibly talented and collaborative team.
Join us. The world can’t wait.
You Have:
3+ years of experience with machine learning, DevOps, data science, or software engineering
Experience building and deploying containerized ML solutions with Docker and Kubernetes
Experience with cloud platforms, including AWS, Google Cloud, or Azure
Experience with ML programming languages, including Python, Scala, or Java
Secret clearance
Bachelor's degree
Nice If You Have:
Experience architecting and deploying generative AI solutions, such as large language models (LLMs)
Experience with CI/CD pipelines, such as AWS CodePipeline, Jenkins, or GitHub Actions
Experience with model serving solutions, such as AWS SageMaker, KServe, or Seldon Core
Experience with enterprise data platforms
Experience with infrastructure as code technologies, including Terraform, Pulumi, or Ansible
TS/SCI clearance
Clearance:
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.