The Opportunity:

Do you enjoy creating innovative solutions to complex challenges while working within a community of dynamic technology professionals? As a seasoned data professional, you know that machine learning is critical to understanding and processing massive datasets. We need your technical expertise to support end-to-end AI solutions in a fast-paced, Agile environment.

As a lead machine learning engineer you will develop fully-realized applications with AI-based solutions that will enable to the discovery, extraction and enrichment of text and image data. You will vet AI models and develop APIs for persistent inference in full-stack applications and to enrich data pipelines. You will also lead statistical analyses on business processes to report KPIs to iterate upon a customer-focused solution.

In this role, you’ll lead the direction of mission-critical solutions by applying best-fit ML algorithms and introducing leading-edge technologies. You’ll share your knowledge with a large community of machine learning engineers across the firm and collaborate with data engineers, data scientists, solutions architects, and product owners to deliver world class solutions to address the challenges of integrating, evolving, and rapidly scaling new and emerging AI capabilities. Your advanced consulting skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks.

If you have the drive to solve real-world challenges and define ML strategy for critical customer missions across the firm, there’s a place for you here. At Booz Allen, you’ll make a difference with us, and, in return, we’ll invest in your future.

Join us. The world can’t wait.

You Have:

• 4+ years of experience with developing platform-agnostic AI solutions

• 3+ years of experience with implementing, testing, and fielding automation for artificial intelligence and machine learning solutions

• Experience with API development in Python, R, or Java

• Experience with machine learning frameworks, including TensorFlow, PyTorch, Hugging Face, LangChain or OpenCV

• Experience with containerization such as Docker and orchestration with Kubernetes and Helm

• Experience facing clients as well as requirements gathering

• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements

• Bachelor's degree

Nice If You Have:

• Experience working in Kanban and Agile development processes

• Experience with Apache Spark and big data technologies

• Experience with cloud services, including AWS, Azure, or GCP

• Experience with Git and collaboration tools, including Jenkins, JIRA, Confluence, Nexus, or Bitbucket

• Master's degree

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.

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.