AI & ML Engineer

Booz Allen Hamilton•McLean, VA

1d•$128,700 - $292,000

About The Position

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. Join us. The world can’t wait.

Requirements

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 PySpark
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

Nice To Haves

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 NoSQL 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, GitLab, or GitHub
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

Responsibilities

Train, test, deploy, and maintain AI capabilities across mission sets.
Lead the direction of critical solutions by applying best-fit AI/ML solutions and introducing leading-edge technologies.
Share knowledge across a large portfolio of projects.
Collaborate with AI and ML solution architects, intel analysts, cloud architects, data engineers, and data scientists to deliver world-class solutions.
Guide customers as they navigate the landscape of introducing AI and automation to their existing manual processes.