Generative AI and ML Engineer, Lead

$125,600 - $285,000/Yr

Booz Allen Hamilton - Bethesda, MD

Part-time,Full-time - Mid Level

Bethesda, MD

Professional, Scientific, and Technical Services

About the position

As a Generative AI and ML Engineer, Lead, you will play a pivotal role in leveraging Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Processing (NLP) to address complex business challenges. Your expertise will be essential in developing and operationalizing AI and ML solutions that can process vast datasets and provide actionable insights at unprecedented speeds. This position requires a blend of technical acumen and strategic thinking, as you will be tasked with identifying opportunities for AI and ML applications that can significantly impact our clients' operations and decision-making processes. In this role, you will collaborate with a diverse team of professionals, including data engineers, data scientists, solutions architects, and product owners, to create innovative solutions that meet the needs of our federal clients. Your responsibilities will include guiding internal strategies and advising clients on the effective use of Generative AI models, tools, and frameworks. You will also be expected to share your knowledge and insights with a broader community of ML engineers within the firm, fostering a culture of collaboration and continuous learning. Your contributions will not only enhance the technical capabilities of our team but also drive the adoption of GenAI solutions across various missions. This is an opportunity to work on cutting-edge technologies and make a meaningful impact in the field of AI and ML, helping our clients navigate the complexities of modern data challenges.

Responsibilities

• Identify and develop opportunities for AI, ML, and LLMs to solve real-world business problems.
• Collaborate with cross-functional teams to deliver innovative AI and ML solutions.
• Guide internal strategy and advise clients on the use of Generative AI models and frameworks.
• Share knowledge and best practices with the ML engineering community within the firm.
• Operationalize ML applications and ensure their effective deployment in client environments.
• Lead high-performing Agile teams to achieve project goals and deliverables.

Requirements

• 7+ years of experience in ML, Data Science, Software, or Full Stack Engineering, including roles as an individual contributor, manager, or advisor.
• 3+ years of experience operationalizing ML applications.
• Experience with Generative AI, including transformers or LLM project work.
• Experience managing or leading high-performing Agile teams.
• Ability to distill complex technical concepts into easily understood summaries for non-technical stakeholders.
• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements.
• Bachelor's degree in a relevant field.

Nice-to-haves

• 2+ years of experience applying large language and generative AI models, including transformers and GPT models.
• Experience with frameworks such as Huggingface, LangChain, or GPT.
• Experience finetuning LLMs.
• Experience with API design, Containerization, and DevOps.
• 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 practices.
• Knowledge of considerations for deploying ML models to compute-constrained hardware.

Benefits

• Wellness programs with HSA contributions.
• Paid holidays and paid parental leave.
• Generous 401(k) match.
• Flexible schedules and remote/hybrid work options.
• Professional development opportunities including upskilling programs and tuition reimbursement.