Scientific AI and ML Engineer

Overview

The Opportunity: Are you looking for an opportunity to make a difference and help build innovative systems that will have a positive impact on how scientific systems are delivered? What if you could find a position that is tailor-made for your mix of science, AI, ML, and engineering skills? Scientific AI and ML engineers play a critical role in advancing research and operational innovation through cutting-edge applications of AI and ML.

That’s why we need an experienced AI and ML engineer like you to help us design and develop solutions that combine domain expertise, scientific rigor, and ML techniques to deliver actionable insights and support mission-critical operations.

Job Number: R0233065

Scientific AI and ML Engineer

As a Scientific AI and ML Engineer on our team, you’ll apply your deep technical expertise to create innovative AI and ML algorithms, frameworks, and tools to address complex scientific challenges. You’ll collaborate with a multidisciplinary Agile development team to develop, validate, and optimize AI and ML models and workflows. Whether it’s designing novel algorithms, enabling automation of AI workflows, or scaling solutions in a cloud environment, you’ll have the opportunity to pioneer new approaches while improving scientific outcomes.

You’ll identify opportunities for leveraging AI and ML to solve real-world problems, guide efforts to mitigate risks, optimize resources, and improve lives. You’ll apply AI and ML to solve scientific problems at the intersection of health and technology, and protect America from health, safety, and security threats.

• 5+ years of experience across data science, AI, and data engineering with ownership of end-to-end analytical or ML solutions
• 5+ years of experience in bioinformatics or computational biology, including analysis and processing of biological and imaging data such as FASTQ, BAM/CRAM, VCF, or DICOM
• 3+ years of experience designing and deploying AI and ML solutions, including model training, evaluation, and production
• 3+ years of experience designing cloud architectures for data-intensive or AI applications on AWS, Azure, or Google Cloud
• Experience with cloud-based AI platforms, including Databricks, AWS Sage Maker, or Azure ML
• Knowledge of Python or R for data analysis, modeling, and pipeline development
• Ability to translate complex biological questions into analytical approaches and apply existing methods to novel datasets
• Ability to work independently, lead technical initiatives, and deliver in a fast-paced, evolving environment
• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
• Bachelor’s degree in a Science field

• Experience with PySpark or SparkR
• Experience with Kubernetes or another container management system 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 Tensor Flow or Py Torch
• Master's degree in CS, Bioinformatics, Computational Biology, or a related Science or technical field

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

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…