Booz Allen Hamilton · 1 day ago
Scientific AI & ML Engineer
Bethesda, MD
Full-time
Hybrid
Mid, Senior Level
$78K/yr - $176K/yr
4+ years expBooz Allen Hamilton is seeking a Scientific AI & ML Engineer to help build innovative systems that positively impact scientific systems delivery. In this role, you will design and develop AI and ML algorithms, collaborate with multidisciplinary teams, and optimize solutions to address complex scientific challenges.
ConsultingCyber SecurityIT InfrastructureManagement ConsultingSecurity
Responsibilities
Develop and optimize novel AI and ML algorithms tailored to scientific challenges, integrating domain knowledge to ensure results are actionable and relevant
Design, validate, and deploy end-to-end machine learning and AI workflows in cloud environments to address complex analytical needs across the organization
Collaborate with cross-functional teams to design efficient frameworks for data preparation, feature engineering, model selection, and outcome interpretation across data sources
Build tools and infrastructure to enable seamless experimentation, rapid model iteration, and reproducibility of scientific AI and ML experiments
Scale AI and ML solutions using advanced techniques such as distributed computing, cloud environments, including Azure, Databricks, and containerized deployments
Implement automated pipelines for training, validating, and deploying models into production with rigorous monitoring and evaluation processes
Develop containerized applications and APIs for exposing AI and ML model capabilities, ensuring accessibility and interpretability for stakeholders
Identify and introduce state-of-the-art AI and ML techniques and tools such as explainable AI (XAI), reinforcement learning, and probabilistic modeling to enhance research outcomes and operational decision-making
Support collaboration with data scientists, researchers, and engineers to bridge the gap between foundational AI and ML research and deployed, impactful applications
Qualification
Required
4+ years of experience with Object-Oriented Programming (OOP)
3+ years of experience developing AI and ML models and solutions using distributed and cloud technologies, including Azure or Databricks
3+ years of experience developing, validating, and deploying scientific AI and ML workflows, including data preparation, model training, and model monitoring
Experience building containerized applications, including API design and secure authentication
Knowledge of AI and ML concepts, including supervised and unsupervised learning, statistical modeling, and deep learning methods
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
Bachelor's degree in a Computer Science or Data Science field
Preferred
Experience with Python and PySpark
Experience with Azure Data Lake Services, Data Factory, Synapse, Purview, EntraID, or other cloud services
Experience with Kubernetes for managing containerized AI and ML workloads
Experience designing and implementing automated, reproducible data and ML pipelines in a cloud environment
Experience with version control tools, including Git
Knowledge of AI model explainability, ethical AI, or advanced deep learning frameworks such as TensorFlow or PyTorch
Master's degree in Computer Science, Machine Learning, or a related technical field
Benefits
Health
Life
Disability
Financial
Retirement benefits
Paid leave
Professional development
Tuition assistance
Work-life programs
Dependent care
Company
Booz Allen Hamilton
Booz Allen Hamilton is a consulting firm that specializes in analytics, technology, and engineering.
10001+ employees
H1B Sponsorship
Booz Allen Hamilton has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (16)
2024 (15)
2023 (38)
2022 (23)
2021 (17)
2020 (49)
Funding
Current Stage
Public CompanyTotal Funding
$3.03B2025-03-11Post Ipo Debt· $650M
2023-08-01Post Ipo Debt· $650M
2020-08-13Post Ipo Debt· $700M
Leadership Team
Matthew Calderone
Chief Financial Officer and Executive Vice President
Kristine Anderson
Chief Operating Officer
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