- 5+ years of experience in software development and machine learning delivering high quality, scalable, and maintainable solutions
- Experience with leveraging ML frameworks, such as TesorFlow or PyTorch or developing ML inference pipelines in environments, such as DataBricks or AWS SageMaker
- Experience with developing in modern front-end technologies, such HTML, CSS, JavaScript and front-end frameworks or libraries, such as or Angular
- Experience with back-end development using server-side languages and frameworks, such as , Python (Django/Flask), or Java (Spring Boot), including experience with RESTful APIs and microservice architectures
- Experience working with database management systems SQL or NoSQL, including database design, optimization, and querying using databases, such as MySQL, PostgreSQL or MongoDB
- Experience working with version control systems, such as Git, including branching, merging, and resolving conflicts, and experience with code review processes and collaboration tools like GitHub or GitLab
- Secretclearance
- Bachelor's degree in Computer Science, Engineering, Data Science, Science, Technology, Engineering, or Math (STEM)
- Experience working with cloud platforms, such as AWS, Azure, or GCP, including familiarity with cloud native tools, such as AWS Lambda or Azure Functions
- Experience with containerization technologies, such as Docker and container orchestrations platforms like Kubernetes
- Experience working in Agile development environments, particularly Scrum, including experience participating in sprint planning, stand-up meetings, backlog grooming, and retrospectives
- Knowledge of software testing principles and techniques, including unit testing, integration testing, and end-to-end testing
- Knowledge of CI/CD pipelines, including use of technologies, such as Ansible, Puppet, Chef, or Jenkins
- Ability to work effectively in cross-functional teams, mentor junior developers, and communicate technical concepts to non-technical stakeholders
- Possession of excellent communication and collaboration skills
- 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.
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Full Stack ML Engineer, Senior - McLean, United States - Booz Allen Hamilton
Description
Job Number: R0193955Full Stack ML Engineer, Senior
The Opportunity:
Booz Allen's Digital Battlespace Team is seeking an experienced full-stack machine learning engineer to build innovative new applications and products in the defense market. As a full stack ML engineer, you can resolve a problem with a complete end-to-end solution in a fast, agile environment. If you're looking for the chance to not just develop software, but to create AI systems that will make a difference, we need you on our team. We're looking for an experienced developer like you with the skills needed to develop software, systems, train models, and push the boundary of the possible, this role is more than just coding.
As a senior full-stack ML engineer at Booz Allen, you'll use your passion to master new tools and techniques and identify needed system improvements. You'll help clients overcome their most difficult challenges using the latest architectural approaches, tools, and technologies. You'll make sure the solution developed by the team considers the current architecture and operating environment, as well as future functionality and enhancements. You'll work with warfighters across command and control (C2), Intelligence, Surveillance and Reconnaissance (ISR), and Special Missions to build tools and systems that support DoD mission goals.
Work with us as we build tomorrow's defense tools and systems.
Join us. The world can't wait.
You Have:
Nice If You Have:
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 , 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. 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 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. so you'll know what to expect as we forge a connection with you during your journey as a candidate with us.
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.
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 $96,600.00 to $220, 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.Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.
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.