Part Time Machine Learning Engineer New Grad Jobs

Job Description
Remote Work:
Hybrid
Job Number:
R0233271
Location:
McLean,VA,US
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Artificial Intelligence and Machine Learning Engineer, Mid
The Opportunity:
As an experienced AI and ML engineer, you will help develop and operationalize secure, scalable, production-grade AI solutions that sustain and advance mission-critical capabilities. You will work as part of a cross-functional team, collaborating with data engineers, data scientists, solution architects, and product owners to deliver high-impact AI and ML solutions across a broad range of use cases.
In this role, you will modernize and operate an end-to-end, AI-driven platform built on Databricks, Palantir, Amazon Bedrock, and custom AI and ML models. You will sustain and enhance batch and streaming data pipelines, improve data quality, lineage, and observability, and partner with data engineers and subject matter experts (SMEs) to define data contracts and feature pipelines. You will modernize legacy case selection capabilities by decomposing them into scalable services and operationalizing rules and model-driven scoring, prioritization, routing, and human-in-the-loop review. You will build and operate production-grade ML pipelines with strong MLOps practices, including versioning, CI/CD, monitoring, drift detection, explainability, and fairness, and integrate with shared enterprise services using API-first and event-driven patterns. You will also harden the platform to meet security and compliance requirements, including ATO, produce architecture and operational documentation, and collaborate closely with product, fraud, and case management teams in an Agile delivery environment. Due to the nature of work performed within this facility, U.S. citizenship is required.
Join us. The world can't wait.
You Have:

• Experience building, deploying, and operating production ML models such as supervised, unsupervised, and anomaly detection, including techniques for imbalanced datasets
• Experience with ML engineering and MLOps, including model versioning, CI/CD for ML, monitoring, drift detection, and automated retraining
• Experience with Python and ML frameworks such as scikit-learn, PyTorch, or TensorFlow
• Experience with Palantir and data engineering platforms such as Databricks, Spark, or SQL, and batch and streaming pipelines
• Experience improving data quality, lineage, and observability in enterprise data environments and operationalizing rules and model-driven scoring for prioritization, routing, or case selection
• Experience with API-first and event-driven integration patterns, including secure service-to-service communication
• Knowledge of responsible AI practices, including explainability, fairness, and bias assessment
• Ability to design and document architecture artifacts, data contracts, and operational runbooks
• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
• Bachelor's degree and 2+ years of experience with DevOps, software, or data engineering, or 5+ years of experience with DevOps, software, or data engineering in lieu of a degree

Nice If You Have:

• Experience working in Agile delivery environments, collaborating with product owners, SMEs, and engineering teams
• Experience with fraud detection, risk analytics, or case selection in government, tax, or financial domains
• Experience with Amazon Bedrock and integrating custom AI models into enterprise workflows
• Experience deploying ML solutions in AWS GovCloud or other regulated cloud environments
• Experience with federal ATO processes, continuous compliance, and operating systems under FISMA controls
• Experience in enterprise modernization programs such as cloud migration, microservices, API strategy, and DevSecOps
• Knowledge of graph-based analytics and advanced anomaly detection techniques
• AWS Machine Learning Specialty, Security+, AI Engineer, or similar Certification

Vetting:
Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.
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 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.
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