AI & ML Engineer, Lead

AI & ML Engineer, Lead

The Opportunity: 

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 R&D work in the realm of cutting-edge AI technologies. As a machine learning engineer on our Army enterprise AI and ML team, you’ll train, test, deploy, and maintain models that learn from data.   

In this role, you’ll lead the direction of critical solutions by applying best-fit ML algorithms and introducing leading-edge technologies. You’ll share your knowledge with a large community of machine learning engineers across the company 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. You will process data and information at a massive scale and perform A/B testing tasks on ML models and integrated cloud systems. Your skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks. 

Work with us to solve real-world challenges and define ML strategy for Army enterprise clients.

Join us. The world can’t wait. 

You Have:  

• 8+ 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 If You Have:   

• 10+ 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

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.

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 value