AI & ML Engineer

AI & ML Engineer

As an experienced engineer, you know that machine learning 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 Army missions in the realm of cutting‑edge AI technologies. As an AI and machine learning engineer on our Army enterprise AI and ML team, you’ll train, test, deploy, and maintain AI capabilities across mission sets.

In this role, you’ll lead the direction of critical solutions by applying best‑fit AI/ML solutions and introducing leading‑edge technologies. You’ll share your knowledge across a large portfolio of projects and collaborate with AI and ML solution architects, intel analysts, cloud architects, data engineers, and data scientists to deliver world‑class solutions to real‑world problems in the threat landscape and analysis domain.

Your skills and extensive technical expertise will guide customers as they navigate the landscape of introducing AI and automation to their existing manual processes. Work with us to solve real‑world challenges and define the AI/ML strategy for Army enterprise clients.

• 5+ years of experience engineering code in an object‑oriented language such as Python, C, C++, Go, Rust, Java, or Haskell
• 4+ years of experience creating software for retrieving, parsing, and processing structured and unstructured data
• 3+ years of experience implementing advanced data science, natural language processing, or machine learning models
• 3+ years of experience coding Dataframes utilizing Pandas, Polars, or Py Spark
• 2+ years of experience designing, developing, operationalizing, and maintaining complex data science applications at enterprise scale
• 2+ years of experience working with algorithms, machine learning models, or MLOps to produce analytical or visual products
• Knowledge of data formats such as JSON, Parquet, Avro, or CSV
• Secret clearance
• Bachelor's degree in Computer Science or Computer Engineering

• 5+ years of experience using Python, C, C++, Go, Rust, Java, or Haskell
• 5+ years of experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud
• 5+ years of experience with Distributed data or computing tools such as Spark, Databricks, Hadoop, Hive, HBase, Accumulo, AWS EMR, Nifi, Luigi, Dask, or Kafka
• 5+ years of experience with No
  
  SQL databases such as Elasticsearch, Solr, MongoDB, or Cassandra
• 5+ years of experience with data warehousing and databases such as AWS Redshift, PostgreSQL, MySQL, Oracle, or Snowflake
• 2+ years of experience working in a team environment for Git, Git Lab, or Git Hub
• 2+ years of experience with scaling data engineering or ETL/ELT across distributed computing clusters such as Apache Nifi, Spark, Dask, Airflow, or Luigi
• Master’s degree in Data Science, Computer Science, or ML Engineering
• AWS, Google, Data Analytics, Machine Learning Engineer, or Solutions Architect Certifications
• ML Engineering, Cloud Architecture, Software Engineering, Web Development, or Data Science Certifications
• Clearance:
  Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information;
  Secret clearance is required.

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…