The Opportunity:

As an experienced engineer, 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 solutions to global challenges across a range of private and public sectors, spanning areas like fraud detection, cancer research, and national intelligence. As an ML and AI engineer on our computational life sciences team, you’ll train, test, deploy, and maintain models that learn from data, and build purpose-driven generative AI solutions.

In this role, you’ll own and define the direction of mission-critical solutions by applying best-fit ML algorithms and generative AI technologies. You’ll collaborate with a community of research and experimentation leaders, software and IT operations engineers, AI and ML experts, data scientists, solution architects, systems engineers, and product owners to deliver world-class solutions. Your advanced solutioning skills and extensive technical expertise will help drive innovation that is applicable across multiple client domains as they navigate the landscape of AI or ML solutions, tools, and frameworks.  

Join us. The world can’t wait.

You Have: 

• 3+ years of experience with AI, ML, or software engineering to build customer-facing solutions and products

• 2+ years of experience with LLM repos, including HuggingFace and API integration and development with RESTful APIs

• 2+ years of experience with LLM frameworks and tools, including LangChain, LlamaIndex, FastAPI, Flask, or Streamlit and programming languages, including Python, Scala, or Java

• 2+ years of experience with integrating LLMs, including Llama, Mixtral, or GPT-4, generative pre-trained transformer (GPT) models, or multi-modal models with applications or user interfaces​​

• 2+ years of experience in working with ML libraries such as Scikit-learn, Pandas, TensorFlow, or Keras

• 1+ years of experience with leveraging vector databases for Retrieval Augmented Generation

• 1+ years of experience with cloud platforms, including Azure AI Studio or ML, AWS Bedrock or SageMaker, or GCP Vertex AI and MLOps, including CI/CD, model training or testing, deployment, or monitoring

• 1+ years of experience with HTML, CSS, JavaScript, and common front-end frameworks

• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements

• Bachelor’s degree

Nice If You Have: 

• Experience with working in collaborative, interdisciplinary team environments, consisting of data scientists, ML engineers, and domain experts 

• Experience in working with federal clients

• Experience with container technologies, including Docker or Kubernetes

• Experience with finetuning LLMs

• Knowledge of evaluating generative AI models and model output and applying responsible AI principles to LLMs

• Knowledge of LLMOps

• Ability to distill complex technical concepts into easily understandable summaries consumable by business leaders with a non-technical background 

• Possession of excellent verbal and written communication skills 

Vetting:

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.

Compensation

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 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.

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 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.