Booz Allen
ArtificialIntelligenceandMachineLearningEngineer,Mid
Neural analysis suggests this role is
optimal for Mid candidates.
“Artificial Intelligence and Machine Learning Engineer, Mid at Booz Allen. Skills: AI, ML, MLOps, Python. Develop and operationalize AI solutions. Sustain and advance mission-critical capabilities”
What You'll Achieve.
sustain and advance mission-critical capabilities; deliver high-impact AI and ML solutions
Industry & Context.
model-driven scoring; prioritization; routing
U. S. citizenship is required, Ability to obtain and maintain a Public Trust or Suitability/Fitness determination, subject to a government investigation, meet eligibility requirements of the U. S. government client, on camera during interviews and assessments, take your picture to verify identity and prevent fraud
What They're Looking For.
Must Have
Experience building, deploying, and operating production ML models, Experience with ML engineering and MLOps, Experience with Python, Experience with ML frameworks, Experience with Palantir, Experience with data engineering platforms, Experience with Databricks, Experience with Spark, Experience with SQL, Experience with batch and streaming pipelines, Experience improving data quality, Experience improving data lineage, Experience improving data observability, Experience operationalizing rules and model-driven scoring, Experience with API-first integration patterns, Experience with event-driven integration patterns, Knowledge of responsible AI practices, Ability to design architecture artifacts, Ability to document architecture artifacts, Ability to design data contracts, Ability to document data contracts, Ability to design operational runbooks, Ability to document operational runbooks, Ability to obtain and maintain a Public Trust or Suitability/Fitness determination
Nice to Have
Experience working in Agile delivery environments, Experience collaborating with product owners, Experience collaborating with SMEs, Experience collaborating with engineering teams, Experience with fraud detection, Experience with risk analytics, Experience with case selection in government domains, Experience with case selection in tax domains, Experience with case selection in financial domains, Experience with Amazon Bedrock, Experience integrating custom AI models, Experience deploying ML solutions in AWS GovCloud, Experience deploying ML solutions in regulated cloud environments, Experience with federal ATO processes, Experience with continuous compliance, Experience operating systems under FISMA controls, Experience in enterprise modernization programs, Experience with cloud migration, Experience with microservices, Experience with API strategy, Experience with DevSecOps, Knowledge of graph-based analytics, Knowledge of advanced anomaly detection techniques, AWS Machine Learning Specialty Certification, Security+ Certification, AI Engineer Certification
What You'll Do.
Develop and operationalize AI solutions
Sustain and advance mission-critical capabilities
Modernize and operate AI platform
Sustain and enhance data pipelines
Define data contracts and feature pipelines
Modernize legacy case selection capabilities
Decompose capabilities into scalable services
Operationalize rules and model-driven scoring
Build and operate ML pipelines
Integrate with enterprise services
Harden platform for security and compliance
Produce architecture and operational documentation
How You'll Work.
Team & Collaboration
Work as part of a cross-functional team; Collaborate with data engineers; Collaborate with data scientists; Collaborate with solution architects; Collaborate with product owners; Partner with data engineers; Partner with subject matter experts; Collaborate with product teams; Collaborate with fraud teams; Collaborate with case management teams; Collaborate with engineering teams
Process & Methodology
Agile delivery environment
Full Job Description
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 detec
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