AI & ML Engineer

Phase2 Technology; Chantilly (VA); On-site; USD 77,600 - 176,000; Full time

Benefits offered by this job

Health benefits

Professional development

Tuition assistance

Work-life balance programs

Job summary

A leading consulting firm in Chantilly is seeking an experienced AI & ML Engineer to define mission-critical solutions using ML techniques. The ideal candidate will have a Bachelor's degree and 3+ years of experience in building and deploying ML solutions. Key responsibilities include training and maintaining models and collaborating across teams to tackle cyber challenges. The role requires Python programming skills and TS/SCI clearance with polygraph. Competitive salary range is between $77,600 and $176,000 annually.

Qualifications

• 3+ years of experience building and deploying AI and ML solutions.
• Experience building applications leveraging LLMs for automation tasks.
• TS/SCI clearance with polygraph required.

Responsibilities

• Train, test, deploy, and maintain ML models.
• Define direction of mission-critical solutions using ML algorithms.
• Collaborate with cross-functional teams to deliver solutions.

Skills

Python programming

Adapting and fine-tuning open-source models

Containerization technology (Docker)

Object-oriented programming

Education

Bachelor's degree

Tools

YOLO

BERT

Job description

Your growth matters to us - explore our career development opportunities.

BE EMPOWERED TO SUCCEED

Connect with others in our people‑first culture and enhance our collective ingenuity.

SUPPORT YOUR WELLBEING

Learn how we’ll support you as you pursue a balanced, fulfilling life.

YOUR CANDIDATE JOURNEY

Discover what to expect during your journey as a candidate with us.

AI & ML ENGINEER

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 our client's cyber mission. As a machine learning engineer on our national security team, you’ll train, test, deploy, and maintain models that learn from data.

In this role, you’ll own and define the direction of mission‑critical solutions by applying best‑fit ML algorithms and technologies. You’ll be part of a large community of machine learning engineers across the company and collaborate with users, software engineers, and data scientists to deliver world‑class solutions to develop and deploy novel AI and ML solutions to tackle novel cyber challenges. 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 our cyber national security clients.

Join us. The world can’t wait.

You Have:

• 3+ years of experience building and deploying AI and ML solutions into production
• Experience with Python programming
• Experience with object‑oriented programming and best practices
• Experience adapting and fine‑tuning open‑source models such as YOLO or BERT
• Experience building applications leveraging LLMs for automation tasks such as text summarization
• Experience with containerization technology such as Docker
• TS/SCI clearance with a polygraph
• Bachelor's degree

Nice If You Have:

• Experience with Reverse Engineering
• Experience with vector databases such as Qdrant and relational databases such as Postgres
• Experience with on‑prem compute
• Knowledge of MITRE ATT&CK framework

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph 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 $77,600.00 to $176,000.00 (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.