MLOps Engineer

Overview

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As an experienced artificial intelligence and machine learning engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques, including through the integration of large language models, makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support new model development.

As a machine learning engineer on our health team, you’ll train, test, deploy, and maintain models that learn from 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 be part of a large community of machine learning engineers across the company and collaborate with data scientists, software developers, and cloud data engineers to deliver world-class solutions to invent and generate models for automation and decision making. Your skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks.

Join us. The world can’t wait.

• 4+ years of experience with machine learning engineering on software engineering or data engineering projects, including for classification, regression, and decision-making
• Experience building AI-enabled features or prototypes using LLMs, embeddings, or 3rd party APIs, including OpenAI or Anthropic
• Experience with basic prompt engineering concepts and using LLM SDKs or frameworks, including Lang Chain or Llama Index
• Experience using Databricks and MLFlow to efficiently manage data and ML workflows and optimizing performance and scalability for model experimentation, governance, or inferencing
• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
• Bachelor s degree in a Science, Technology, Engineering, or Mathematics (STEM) field

• Experience building production-grade ML solutions, including work involving LLMs, agents, or complex automation frameworks
• Experience with cloud platforms, including AWS, Azure, or GCP, and their AI or ML services
• Experience developing back-end services and building or consuming RESTful APIs
• Experience with Python or PySpark coding
• Experience with container technology, including Docker or Kubernetes
• Experience with software configuration management using Git
• Knowledge of how to use Model Context Protocol to integrate agents into AI/ML-supported automation systems
• Ability to work with limited guidance and clear direction
• Possession of excellent verbal and written communication skills to communicate with peers and clients

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

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.

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