Special Missions Machine Learning Engineer
Booz Allen HamiltonAbout the role
The Opportunity:
As an experienced engineer, 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 critical defense missions. As an ML engineer on our Chief Technology Office 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 ML engineers across the firm and collaborate with data engineers, data scientists, solutions architects, and product owners to deliver world class solutions to the special operations community. Your advanced consulting 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.
You Have:
5+ years of experience with ML engineering, data science, research engineering, software engineering, development, or full stack engineering, including in an academic or professional environment
Experience with object-oriented programming in Java, C++, or Python
Experience with developing software architecture with containerization tools, including Docker or Kubernetes
Experience in the Special Operations community
Experience with databases, including SQL
Knowledge of data science fundamentals and methods
TS/SCI clearance
Bachelor's degree in Computer Science or Engineering
Nice If You Have:
5+ years of experience developing and deploying ML models into production within DoD enclaves
Experience with training models in Databricks with MLflow
Experience with software development, including API development or database management, model deployment, and usage with JavaScript frameworks, including React, Angular, or Node.js
Experience with Extract, Transform and Load tools, data warehousing, and data pipeline development
Experience with PostgreSQL
Experience with pandas or geopandas
Experience with visualization tools, including Tableau, Anaconda, or R Studio
Knowledge of DoD and IC domain and artificial intelligence principles and practices
Ability to deploy production application to a Cloud environment, including Google Cloud or Amazon Web Services
Master's degree
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
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 wit
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