MLOps Engineer
The Opportunity:
As an experienced MLOps engineer, you understand that machine learning is critical to processing and analyzing massive datasets. Your ability to build, deploy, and maintain ML infrastructure makes you an integral part of delivering robust AI solutions to answer challenging problems. We need your technical expertise and domain knowledge to support the development of generative AI and natural language platforms. As an MLOps engineer on our national security team, you’ll be implementing cutting-edge ML and DevOps technologies to accelerate our clients’ understanding of their data.
You’ll collaborate with a large community of data scientists, software engineers, and DevOps engineers to deliver world-class solutions. Your advanced consulting skills and hands-on technical experience will guide clients as they navigate the constantly evolving landscape of various ML tools and frameworks. You will also be involved in shaping team direction and will work without considerable direction, including mentoring and supervising team members.
Work with us to solve real-world challenges and define ML strategy for USCYBERCOM and beyond.
Join us. The world can’t wait.
You Have:
2+ years of experience with artificial intelligence, MLOps, DevOps, or data engineering, either in a research or professional role
Experience building and deploying containerized applications or microservices using Docker and Kubernetes
Experience deploying AI solutions built on frameworks, such as TensorFlow, PyTorch, or Transformers
Experience with CI/CD or DevOps frameworks, including Jenkins, GitHub Actions, and Argo CD
Experience with cloud infrastructure provisioning or configuration frameworks, including CloudFormation, Terraform, Pulumi, and Ansible
Experience with full-stack development
Experience working in an Agile team
Knowledge of languages, such as Python, Java, TypeScript, JavaScript, and SQL
Ability to obtain a security clearance
Bachelor's degree
Nice If You Have:
Experience with integrating DevSecOps practices and principles throughout the project lifecycle
Experience writing technical documentation
Experience with testing and quality assurance
Experience with GPU-programming, including CUDA, RAPIDs, or similar
Knowledge of front-end frameworks, such as React, Angular, or Vue
Knowledge of back-end and middleware services, such as NGINX, FastAPI, or Airflow
Knowledge of AI concepts and tooling to support deep learning, machine learning, signal processing and natural language processing
TS/SCI clearance
Master's degree in Computer Science, Statistics, or related field
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Create Your Career:
Grow With Us
Your growth matters to us—that’s why we offer a variety of ways for you to develop your career. With professional and leadership development opportunities like upskilling programs, tuition reimbursement, mentoring, and firm-sponsored networking, you can chart a unique and fulfilling career path on your own terms.
A Place Where You Belong
Diverse perspectives cultivate collective ingenuity. Booz Allen’s culture of respect, equity, and opportunity means that, here, you are free to bring your whole self to work. With an array of business resource groups and other opportunities for connection, you’ll develop your community in no time.
Support Your Well-Being
Our comprehensive benefits package includes wellness programs with HSA contributions, paid holidays, paid parental leave, a generous 401(k) match, and more. With these benefits, plus the option for flexible schedules and remote and hybrid locations, we’ll support you as you pursue a balanced, fulfilling life—at work and at home.
Your Candidate Journey
At Booz Allen, we know our people are what propel us forward, and we value relationships most of all. Here, we’ve compiled a list of resources so you’ll know what to expect as we forge a connection with you during your journey as a candidate with us.
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 $73,100.00 to $166,000.00 (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.
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.
