Advanced Machine Learning Engineer. Job in Virginia Beach Move Collective Jobs

The Opportunity

As an expert in programming, your proficiency in machine learning is vital for decoding and interpreting vast datasets. Your skill in applying statistical analysis to enhance business processes using ML techniques positions you as a key contributor in delivering tailored solutions. We are seeking talented individuals to drive innovation within the DoD sector. In this role, you will train, test, deploy, and maintain models that evolve through data.

As a member of our defense technology team, you will define and steer the development of essential solutions by implementing AI techniques to achieve faster mission success. You will be immersed in a vibrant community of machine learning engineers, collaborating with data engineers, data scientists, solutions architects, and product owners to deliver exceptional AI applications. Your unique skill set and technical prowess will guide clients in navigating the diverse landscape of ML algorithms, tools, and frameworks.

Join us to tackle real-world challenges and help shape AI strategies for national security.

Key Qualifications

• 3+ years of experience in artificial intelligence, data science, or machine learning engineering, including the development and deployment of machine learning models.
• 3+ years of Python programming experience, including libraries such as scikit-learn, TensorFlow, or PyTorch.
• Proficiency in one or more programming languages, including Python, C++, Rust, or Java.
• Experience with deep learning, computer vision, or generative AI methodologies.
• Solid understanding of supervised and unsupervised learning techniques.
• Hands-on experience in data processing and model development.
• Strong problem-solving skills to address client challenges.
• Possession of a Secret clearance.
• Undergraduate degree in a related field.

Preferred Qualifications

• Familiarity with generative and agentic AI technologies, including LLMs, MCP, LangChain, or LangGraph.
• Capability to develop and maintain scalable data frameworks for big data necessary for business analytics.
• Ability to create software solutions for retrieving, parsing, and processing both structured and unstructured data.
• Master's degree in a relevant discipline.

Clearance

Selected candidates will undergo a security investigation and must satisfy eligibility criteria for accessing classified information; a Secret clearance is required.

Compensation

At Booz Allen, your contributions are celebrated, and you are presented with diverse opportunities to foster your growth and well-being. Our comprehensive offerings encompass health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work‑life balance programs, and dependent care. We also recognize exceptional performance through awards and recognition programs. Full‑time and part‑time employees working a minimum of 20 hours per week can access Booz Allen's benefit programs, with specific offerings available for part‑time employees. Discover more about our employee benefits by visiting the Resource page on our Careers site.

The projected compensation range for this position is $77,500.00 to $176,000.00 annually. This estimate reflects the typical salary range for this role and is one element of Booz Allen's comprehensive compensation package.

Identity Verification

During the hiring process, you will be required to complete an identity verification procedure that utilizes advanced biometrics and AI technology to ensure authenticity and safeguard against identity fraud. You are expected to be on camera for interviews and assessments, and we reserve the right to capture your image to verify your identity.

AI Usage Policy

We at Booz Allen integrate AI into our daily operations responsibly and ethically. To maintain a fair candidate experience, the use of AI tools during interviews is prohibited unless explicitly permitted.

Work Model

Our culture emphasizes collaboration, whether in‑person or online. Remote employees are usually expected to keep their cameras on during meetings.

• Remote: This role may require occasional in‑person attendance at Booz Allen or customer facilities.
• Hybrid: You will frequently work from a Booz Allen location based on leadership expectations and role requirements, with possible visits to customer sites.
• Onsite: Your work will primarily occur at a Booz Allen office or customer facility, necessitating in‑person collaboration.

Commitment to Non‑Discrimination

All qualified applicants will be considered for employment without regard to disability, veteran status, or any other status protected by applicable law.