Lead AI & ML Engineer

Job Number: R0237639

AI & ML Engineer, Lead
The Opportunity :

As an experience d engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to c ond uct 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, Rus t, Java, or Haskell
• 4+ years of experience creating sof t war e 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, Rus t, Java, or Haskell
• 5+ years of experience with a public cloud, including AWS, Micro sof t 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 war ehousing 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 Certification s
• ML Engineering, Cloud Architecture, Sof t war e Engineering, Web Development, or Data Science Certification s

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 hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. 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.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the 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.