AI/ML Engineer, Mid

USA, VA, Arlington (1550 Crystal Dr Suite 300) - Direct Charge, United States

Booz Allen Hamilton

Using tomorrow’s technologies, Booz Allen advances the nation’s most critical civil, defense, and national security missions.

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AI/ML Engineer, Mid

The Opportunity:

As an analytics professional, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. If you care about moving a mission forward as much as advancing the field of data science, this is the opportunity for you. Your deep AI and machine learning expertise coupled with an original approach to your work, will help clients and stakeholders make sense of their data and encourage actionable results. We’re looking for someone like you to lead complex data exploration and analytics projects through your experience with programming languages, such as SQL, Python, and R operationalizing models, containerization, data architecture, and cloud computing platforms for our Army clients.

As an advanced data researcher on our team, you’ll learn and apply innovative AI and machine learning methodologies to make a real-world impact on time sensitive data-driven decision-making and protecting our military. You’ll grow your skills in data science, AI, Machine Learning model design, Operationalizing AI/ML, predictive modeling, and shape the future of analytics through researching peer-reviewed scholarly papers and code frameworks.

We’ll keep you sharp and moving forward in your career, with access to online courses, the latest technologies and certifications and opportunities to publish or present at conferences. Whether you’re using AI to impact government efficiency, law enforcement, national security, or military applications and providing better services to the public, such as improving veterans’ experiences, you’ll guide a team that serves critical missions from end to end.

Join us. The world can’t wait.

You Have: 

  • 1+ 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

  • Ability to work with DataFrames, SQL utilizing Spark, PySpark, or Python Pandas or Polars

  • Ability to communicate and report findings and research clearly and concisely for clients 

  • Ability to obtain a Secret clearance

  • Bachelor's degree in Computer Science or Computer Engineering and 2+ years of experience with engineering code in an object-oriented language, such as Python, C, C++, Go, Rust, Java, R, or Haskell, or Master's degree and experience with engineering code in an object-oriented language, such as Python, C, C++, Go, Rust, Java, R, or Haskell

Nice If You Have:

  • Experience working in a team environment for Git, GitLab, or GitHub

  • Experience with scaling data engineering across distributed computing clusters, including Apache Nifi, Spark, Dask, Airflow, or Luigi

  • Experience with SQL and NoSQL database technologies, such as Elasticsearch, Solr, HBase, Accumulo, Cassandra, Weaviate, ChromaDB, DuckDB, Neo4j, AWS DynamoDB, PostgreSQL, MSSQL, MySQL, or MongoDB

  • Master’s degree in Data Science, ML Engineering, or similar

  • AWS or Google certifications, such as Data Analytics, Machine Learning Engineer, or Solutions Architect

  • ML engineering, cloud architecture, software engineering, web development, or data science certification

Clearance: 
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

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 $75,600.00 to $172,000.00 (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.

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Tags: Airflow Architecture Avro AWS Cassandra Computer Science CSV Data Analytics DynamoDB Elasticsearch Engineering Git GitHub GitLab Haskell HBase Java JSON Machine Learning ML models MLOps Model design MongoDB MS SQL MySQL Neo4j NiFi NoSQL Pandas Parquet PostgreSQL Predictive modeling PySpark Python R Research Rust Security Spark SQL Weaviate

Perks/benefits: Career development Conferences Health care

Region: North America
Country: United States

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