Platform Data Engineer
Accenturefederalservices · Arlington, VA
About this role
**Platform Data Engineer** **About the Role** Design, build, and maintain AI/ML lifecycle core services and products. Create utilities and ensure seamless function of orchestration capabilities to support the AI/ML environment. Develop and implement infrastructure for training, validating, and deploying machine learning models, create reusable components and libraries to accelerate AI/ML development, and build model serving platforms for efficient inference. **Key Responsibilities** • Implement automated machine learning pipelines • Design systems for model monitoring and performance tracking • Develop tools for model explainability and interpretability • Optimize AI/ML algorithms for performance and scalability • Implement MLOps practices for continuous integration and deployment • Collaborate with data engineers to ensure data pipelines support AI/ML requirements • Troubleshoot complex issues in AI/ML systems • Implement version control for models and datasets • Develop testing frameworks for AI/ML components **Requirements** • 5+ years of experience with data and/or AI/ML • Bachelor's degree (or 4+ additional years of experience) • Active Secret, Top Secret, TS/SCI, or TS/SCI with Polygraph clearance required **Compensation** $91,300 – $184,900 USD (for select states and locations) **About Accenture Federal Services** A technology company within global Accenture, dedicated to serving the US federal government. Recognized as a Glassdoor Top 100 Best Place to Work. We offer collaborative environment, certifications, industry training, and growth opportunities.
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