AI and ML Engineer

Booz Allen Hamilton; Springfield (VA); On-site; USD 78,000 - 176,000; Full time

Job summary

Booz Allen Hamilton is seeking an ML Engineer to train, test, deploy, and maintain models for warfighter performance, collaborating with data teams and product owners. You will apply best-fit ML algorithms and technologies to deliver mission-critical solutions.

Ideal candidates have 6+ years building ML in production, strong Python and cloud experience, and expertise in MLOps, data pipelines, and scalable ML systems.

Qualifications

• 6+ years of experience developing and deploying ML models in production.
• Proficiency in Python and ML frameworks; building data pipelines.
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
• Knowledge of model evaluation, statistics, and optimization.
• Strong problem-solving and ability to communicate complex ideas.

Responsibilities

• Train, test, deploy, and maintain ML models in production environments.
• Collaborate with data engineers, data scientists, solutions architects, SMEs, and product owners.
• Develop tools for scalable ML systems and establish CI/CD for ML workflows.

Skills

Python

ML frameworks

MLOps

Data pipelines

CI/CD

Model monitoring

Docker

Kubernetes

SageMaker

Vertex AI

LangChain

Education

Bachelor's degree in CS/DS/Engineering

Master's degree preferred

Doctorate a plus

Tools

AWS

Azure

GCP

SageMaker

Vertex AI

TensorRT

ONNX Runtime

OpenVINO

Docker

Kubernetes

Job description

The Opportunity:As a programmer, you know that machine learning (ML) is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support warfighter performance. As an ML engineer on our warfighter technology team, you’ll train, test, deploy, and maintain models that learn from data.In this role, you’ll contribute to the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You’ll grow within a talented team of ML engineers across the company and collaborate with data engineers, data scientists, solutions architects, Mission SMEs, and product owners to deliver world-class solutions to optimize and predict performance. Your skills and technical experience will help your clients navigate the landscape of ML algorithms, tools, and frameworks.Work with us to solve real-world challenges and define ML strategy for warfighter performance.Join us. The world can’t wait.You Have:6+ years of experience developing and deploying machine learning models in production environmentsExperience in Python and ML frameworksExperience with cloud platforms, such as AWS, Azure, or GCPExperience with developing tools for scalable ML systems, such as SageMaker, Azure ML, or Vertex AIExperience building data pipelinesExperience with MLOps practices including CI/CD for ML, model versioning, monitoring, and deployment automationKnowledge of ML algorithms, statistics, model optimization, and evaluation methodologiesAbility to obtain a Secret clearanceBachelor’s degree in a Computer Science, Data Science, or Engineering fieldNice If You Have:Experience with LLMs, generative AI, RAG systems, and prompt engineeringExperience building agentic AI systems, including multi-agent frameworks, autonomous agents, tool and function calling, orchestration libraries such as LangChain, LangGraph, LlamaIndex, AutoGen, or CrewAIExperience with edge AI optimization and deployment, including model quantization, pruning, and distillation, and deployment to edge and embedded hardware using frameworks such as TensorRT, ONNX Runtime, OpenVINO, or TensorFlow LiteExperience with open-source containerization and container orchestration technologies, including Docker and KubernetesExperience with MLOps for production and machine learning workloadsAbility to design distributed systems and work with microservice-based architecturesAbility to communicate complex technical concepts clearly to non-technical stakeholdersPossession of strong problem-solving skillsMaster’s degree preferred; Doctorate degree a plusClearance:Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.CompensationAt 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 $77,600.00 to $176,000.00 (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 StatementAs part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. 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.Candidate AI Usage PolicyAI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided .Work ModelOur people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.Remote : If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.Hybrid : If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.Onsite : If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.Commitment to Non-DiscriminationAll 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.