Senior Generative Machine Learning Engineer

Senior Generative Machine Learning Engineer The Opportunity: As an experienced software engineer or data scientist, you are aware that Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Processing (NLP), including Large Language Models (LLMs), are crucial for understanding and processing enormous datasets and guiding humans on decision options at machine speed. We need your technical knowledge and problem-solving skills to identify and develop opportunities for the utilization of AI, ML, and LLMs to address real-world business and operational problems that assist our clients in meeting their needs. In this role, you'll help develop core technical capabilities that can lead to significant impact across strategic clients and their customers, driving the adoption of GenAI solutions that address various mission needs. You'll share your knowledge with a large community of ML engineers across the firm and collaborate with data engineers, data scientists, solutions architects, systems engineers, and product owners to deliver world-class solutions. Your advanced consulting skills and deep technical expertise will guide internal strategy and clients as they navigate the landscape of GenAI models, tools, and frameworks. Work with us to solve real-world challenges and define ML strategies for our federal clients. Join us. The world can't wait. You Have: - 5+ years of experience with python development geared toward cloud solutions - 3+ years of experience operationalizing machine learning applications (MLOps) - 2+ years of experience applying LLMs and generative AI models, including transformers and GPT models - Ability to become competent in branches of ML - Ability to distill complex technical concepts into easily understood summaries consumable by business leaders with a non-technical background - Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements - Bachelor’s degree in CS, Mathematics, or Engineering Nice If You Have: - Experience with finetuning LLMs - Experience with API design, Containerization, or DevOps - Experience managing or leading high-performing Agile teams - Experience with methods for testing, evaluating, and governing ML models - Experience with Human In The Loop (HITL) systems - Experience with ML explainability metrics and responsible AI - Experience with ML model life cycle processes and tools - Knowledge of the considerations necessary for deploying ML models to compute-constrained hardware - Master’s degree in CS, Mathematics, or Engineering Vetting: Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client. 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. 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. Your Candidate Journey At Booz Allen, we know our people are what propel us forward, and we value relationships most of all. Compensation Salary at Booz Allen is determined by factors, including location, the individual’s unique combination of education, knowledge, skills, expertise, and experience, and contract-specific affordability and organizational requirements. 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 Commitment We’re an equal employment opportunity/affirmative action employer that champions 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.