Job title: Machine Learning Engineer
Company: Booz Allen Hamilton
Job description: Machine Learning EngineerThe Opportunity:As a programmer, 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 our Intelligence Community clients with their most complex technical challenges. As an ML engineer on our National Security team, you’ll train, test, deploy, and maintain models that learn from data.In this role, you’ll contribute to the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You’ll grow within a large community of ML engineers across the firm, and collaborate with data engineers, data scientists, solutions architects, and project owners to deliver world-class solutions to deliver solutions to real-world problems. Your consulting skills and technical experience will help your clients navigate the landscape of ML algorithms, tools, and frameworks.Join us. The world can’t wait.You Have:
- 5+ years of experience in ML, data science, computer science, or computational engineering
- Experience working in major scripting languages such as Python, Java, R, or C++
- Experience researching and developing operational concepts in artificial intelligence (AI) and ML, mathematical or statistical models, and data exploration, analysis, and synthesis
- Experience developing advanced methods and techniques to store, manipulate, transform, and present information in support of all-source intelligence analysis and production
- Experience evaluating algorithms and computer processes, and advanced analytic tools for risks, biases, and limitations that would distort analytic conclusions
- Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
- Bachelor’s degree
Nice If You Have:
- Experience supporting the development of intelligence products from varied, multi-source, and large data sources
- Experience developing scripts, procedures, and processes for extracting and processing data using existing tools and capabilities to derive data-driven analytic insights to support mission requirements
- Knowledge of containerized deployment such as Docker, Kubernetes, or OpenShift
- Ability to learn new programming languages
- 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.CompensationAt 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 $220,000.00 (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.
- 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 CommitmentWe’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.
Expected salary:
Location: McLean, VA
Job date: Sun, 01 Sep 2024 04:04:05 GMT
Apply for the job now!
