Your growth matters to us - explore our career development opportunities.
A PLACE WHERE YOU BELONG
Bring your whole self to work in our culture of respect and inclusivity.
SUPPORT YOUR WELLBEING
Learn how we’ll support you as you pursue a balanced, fulfilling life.
YOUR CANDIDATE JOURNEY
Discover what to expect during your journey as a candidate with us.
Machine Learning Operations Engineer
The Opportunity:
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:
- 10+ 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
- TS/SCI 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
- CompTIA Security+ 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 $125,500.00 to $285,000.00 (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.
#J-18808-Ljbffr