AI and ML Engineer, Lead

AI and ML Engineer, Lead

The Opportunity:

Design and implement effective AI solution architecture or strategy utilizing approaches of various AI technologies and methods to address clients' business problems and needs while complying with the organization’s strategies, business goals, and key ethical considerations. Apply leading-edge principles, theories, and concepts and contribute to the development of new principles and concepts. Work on unusually complex problems and provide highly innovative solutions.

Operate with substantial latitude for unreviewed action or decision. Mentor or supervise employees in both company and technical competencies.

You Have:3+ years of experience in application development, AI/ML engineering, software engineering, or data science3+ years of experience designing, developing, operationalizing, and maintaining complex software or machine learning applications at enterprise scale1+ years of experience creating software for retrieving, parsing, and processing structured and unstructured data to support machine learning workflows1+ years of experience building scalable data pipelines, ETL/ELT workflows, or model training and deployment pipelines

Experience creating solutions within a collaborative and cross-functional team environment

Ability to code and develop scalable solutions from scratch using languages such as Python or Type Script Ability  to navigate ambiguity, problem-solve creatively, and operate with minimal supervision

Ability to develop scripts and programs for converting various types of data into usable formats and support project teams to scale, monitor, and operate AI/ML platformsTS/SCI clearance

Bachelor’s degree in Computer Science, Data Science, or Mathematics and 3+ years of experience in a professional technical work environment or 7+ years of experience in a professional technical work environment in lieu of a degree

Nice If You Have:

Experience with full-stack application development or deploying ML models

Experience with Palantir tools such as Foundry

Experience with distributed data or computing tools, including Spark, Databricks, or pipeline data science tools such as Alteryx Experience working on real-time data, streaming applications, or AI model deployment

Experience with data warehousing using AWS RDS, PostgreSQL, or Snowflake

Experience with Agile engineering practices

Ability to rapidly master new AI/ML frameworks, libraries, and tools

Ability to be technically curious and eager to learn​​Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information;

TS/SCI clearance is required.

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.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as…