Lead AI/ML Engineer

Job Number: R0236392

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/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/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, 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 with 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 with implementing advanced data science, natural language processing or machine learning models
• 3+ years of experience coding Dataframes utilizing Pandas, Polars, or PySpark as well as understanding data formats, such as JSON, Parquet, Avro, or CSV
• 2+ years of experience designing, developing, operationalizing, and maintaining complex data science applications at enterprise scale
• 2+ years of experience in working with algorithms, machine learning models, or MLOps to produce analytical or visual products
• 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 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 contract-specific affordability and organizational requirements. The projected compensation range for this position is $128,700.00 to $292,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.