Job Number: R0228383

AI and MLOps Engineer

The Opportunity

As an AIOps and MLOps engineer, you understand that machine learning is critical to processing and analyzing massive datasets. Your ability to build, deploy, and maintain AI or ML infrastructure makes you an integral part of delivering robust AI solutions to answer challenging problems and deliver customer-focused solutions. We need your technical expertise and domain knowledge to support the development of generative AI and natural language platforms. As an MLOps engineer in support of strategic innovations, you'll be implementing cutting-edge ML and DevOps technologies to accelerate our clients' understanding of their data.

In this role, you'll own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You'll collaborate with a large community of data scientists, solution architects, software engineers, and product owners to deliver world-class solutions. Your advanced consulting skills and hands-on experience will guide clients as they navigate the constantly evolving landscape of various AI or 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 AIOps and MLOps strategies for those in the healthcare domain and beyond.

Join us. The world can't wait.

You Have

2+ years of experience working in software engineering, DevOps, or data roles
Experience with Python for scripting, automation, or backend service development
Experience working within Linux environments, including SSH, command-line workflows, and basic file editing
Experience using Git for version control
Experience with containerization and deployment using Docker and Kubernetes
Experience developing or maintaining simple APIs or services using FastAPI or Flask
Experience building, deploying, or supporting ML or AI applications
Knowledge of Python packaging and dependency management
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
Bachelor's degree

Nice If You Have

Experience with cloud platforms and services, such as SageMaker, MLflow, or Airflow
Experience with monitoring and logging tools, such as CloudWatch, Prometheus, or Grafana
Experience with GPU-programming, including CUDA, RAPIDs, or similar
Experience in a healthcare or public health domain
Knowledgeof API design and microservice communication patterns
Knowledge of SQL or with structured data sources
Ability to learn modern DevOps and MLOps best practices
Master's degree in Computer Science, Statistics, or related field

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Vetting

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.

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 $62,000.00 to $141,000.00 (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 application process, 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.

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.

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.

AI and MLOps Engineer

Job Type