Special Missions Machine Learning Engineer

Special Missions Machine Learning Engineer The Opportunity: As a seasoned engineer, you understand that machine learning (ML) is essential for interpreting and managing large datasets. Your capability to perform statistical analyses on business procedures using ML techniques makes you a vital part of providing a customer-centered solution. We need your technical proficiency and problem-solving passion to support crucial defense missions. As an ML engineer on our Chief Technology Office team, you will train, test, deploy, and maintain models that learn from data. In this role, you will own and dictate the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You will be part of a broad community of ML engineers across the firm and will collaborate with data engineers, data scientists, solutions architects, and product owners to deliver world-class solutions to the special operations community. Your advanced consultation skills and extensive technical expertise will guide clients while they navigate the complex landscape of ML algorithms, tools, and frameworks. Join us. The world can't wait. You Have: - 5+ years of ML engineering, data science, research engineering, software engineering, development, or full-stack engineering experience, including in an academic or professional setting. - Experience with object-oriented programming in Java, C++, or Python. - Experience with developing software architecture with containerization tools, such as 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, such as 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, such as 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, such as Google Cloud or Amazon Web Services. - Master's degree. Clearance: Applicants chosen will undergo a security investigation and may need to meet eligibility criteria for classified information access; TS/SCI clearance is required. Create Your Career, Grow With Us: Your progression matters to us—that's why we provide a range of ways for you to advance your career. With professional and leadership development chances like skilling programs, tuition reimbursement, mentorship, and firm-sponsored networking, you can craft a unique and rewarding career path on your own terms. A Place Where You Belong: Varied perspectives cultivate collective brilliance. Booz Allen's culture of respect, equity, and opportunity implies that you are free to present your whole self to work. With an array of business resource groups and other connection opportunities, you'll establish your community very quickly. 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 choice for flexible schedules and remote and hybrid locations, we'll back you in your pursuit of balanced and fulfilling life—at work and at home. Your Candidate Journey: At Booz Allen, we recognise that our people propel us forward, and we value relationships above all. Here, we've assembled a list of resources so you'll know what to anticipate as we forge a relationship with you during your journey as a candidate with us. Compensation: At Booz Allen, we acknowledge your contributions, offer you opportunities and choices, and uphold your overall 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 outstanding demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis can participate in Booz Allen’s benefit programs. Those who do not meet the threshold are only eligible for select offerings, not including 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 $93,400.00 to $212,000.00 (annualized USD). This estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. Work Model: Our people-first culture values 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 Commitment: We're an equal employment opportunity/affirmative action employer who empowers our people to bravely drive change – regardless of 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 relevant federal, state, local, or international law.