Nellis AFB, Nevada
Location: Nellis AFB, Nevada, USA
Remote Work: No
Job Number: R0163428
Machine Learning Engineer
As an experienced engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using Machine Learning (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. As a machine learning engineer on our team, youâ??ll train, test, deploy, and maintain models that learn from data.Â Â Â
In this role, youâ??ll own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. Youâ??ll be part of a large community of machine learning engineers across the firm and collaborate with data engineers, data scientists, and product owners to deliver world class solutions to design and develop advanced machine learning models, ensure models are properly maintained over time while delivering cutting edge solutions to real world problems. Your advanced consulting skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks.Â
Work with us to solve real-world challenges and define ML strategy for the Department of Defense.Â Â
Join us. The world canâ??t wait.Â
Experience as a Machine Learning Engineer or Lead Data Scientist
Experience with software containerization and orchestration, including Docker, Kubernetes, and Pod Man
Knowledge of Machine Learning Ops and the design and implementation of Machine Learning algorithms integrated in operational systems and deployed to production environments
Ability to train, optimize, integrate, and reinforce Machine Learning algorithms across high volume or velocity text and imagery or full-motion video data feeds
Nice If You Have:â?¯Â
Experience with distributable databases, including Apache Spark, HDFS, MapR, or Cloudera
Experience with Machine Learning hardware, including AMD, NVIDIA DGX, or small form factor HW, including Jetson or Xavier
Experience with performing data exploration and data analysis on multiple data types, including images, video, and text
Experience with feature selection, computer vision or natural language processing model building, and optimization using supervised and unsupervised machine learning techniques to support analytic objectives
Experience with Databricks
Knowledge of deep learning, natural language processing, and synthetic data generation
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:Â
Grow With UsÂ
Your growth matters to usâ??thatâ??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.Â Â
A Place Where You BelongÂ
Diverse perspectives cultivate collective ingenuity. Booz Allenâ??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, youâ??ll build your community in no time.Â
Support Your Well-BeingÂ
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, weâ??ll support you as you pursue a balanced, fulfilling lifeâ??at work and at home.Â Â
Your Candidate JourneyÂ
At Booz Allen, we know our people are what propel us forward, and we value relationships most of all. Here, weâ??ve compiled a list of resources so youâ??ll know what to expect as we forge a connection with you during your journey as a candidate with us.
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 Allenâ??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 individualâ??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 $93,300.00 to $212,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allenâ??s total compensation package for employees.
Weâ??re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change â?? 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.
Booz Allen / Equal Opportunity Employer
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