Machine Learning Software Engineer, Senior
Booz Allen HamiltonAbout the role
The Opportunity:
Are you looking for an opportunity to not just develop software, but to build a system that will have a positive impact? Are you a software engineer with machine learning skills who relishes the opportunity to leverage and deploy AI models within a solution? We are looking for a software engineer who embraces real-world AI problems and relishes the opportunity to apply the latest in technology. As a ML full-stack developer, you can solve a problem with a complete end-to-end solution in a fast-paced, Agile environment. We are looking for a developer with the skills needed to build an application from vision to production-ready system. This role is more than just coding. We need a full-stack developer who will use their passion to learn new tools and techniques and identify and implement system improvements. Using the Software Development Life Cycle, you will build modern-day technical solutions with favorable technologies, including Java, JavaScript, React, Node.js, Postgres, SQL, Linux, and COTS and GOTS software frameworks. You can analyze the needs and the environment to make sure the solution you are developing considers the current architecture and operating environment, as well as future functionality and enhancements.
In an increasingly connected world, massive amounts of structured and unstructured data introduce new opportunities. These opportunities require developers capable of building the services and infrastructure necessary to realize the promise of ML and AI. As a full stack machine learning engineer, you will transform cutting edge machine learning capabilities into applications that solve global challenges. You’ll work closely with your client to understand their questions and needs, then collaborate with subject matter experts and an elite group of fellow engineers to deliver impactful solutions to the client. You’ll identify the right combination of tools and frameworks, train models, develop MLOps pipelines, and deliver robust machine learning applications that turn complex datasets into objective answers to help our military leaders make informed decisions in operational environments.
Join us. The world can’t wait.
You Have:
3+ years of experience within data science, machine learning engineering, software engineering, or data engineering
Experience with software engineering and application development
Experience with developing software architecture with containerization tools, including Docker
Experience with Kubernetes orchestration and API development
Experience with database management, SQL, or NoSQL
Experience with JavaScript frameworks, including React, Angular, or Node.js
Knowledge of Machine Learning concepts
Ability to deploy production application to a Cloud environment, including Google Cloud or Amazon Web Services (AWS)
Secret clearance
Bachelor's degree
Nice If You Have:
Experience with object-oriented programming in Java, Python, or C++
Experience with ETL tools, data warehousing, and data pipeline development
Experience with AWS or Az
Knowledge of DoD and IC domain
Knowledge of CI/CD practices
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret 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 build 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 mor
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