AI/ML Data Engineer (Consultant, Data & Analytics)
Posted 12d agochecked 11d ago
- Pay
- Not stated
- Location
- USA
- Work mode
- Remote
- Level
- Not stated
- Job type
- Full-time
- Posted
- 12d ago
About the role
Fearless is hiring an AI/ML Data Engineer to build and operate production-grade AI and machine learning capabilities for a federal agency’s enterprise data modernization initiative. The role develops reusable AI solutions, automates model lifecycle workflows, integrates AI/ML with shared data and governance services, and supports responsible AI practices and customer enablement. Responsibilities Build and deploy AI/ML capabilities using Azure Machine Learning, Azure AI Services, and Databricks to productionize models across the enterprise data platformImplement MLOps practices to automate model training, validation, deployment, and monitoring workflowsDevelop reusable AI solution patterns and templates that enable predictive modeling, natural language processing, and generative AI use casesIntegrate AI/ML capabilities with shared data engineering, platform, and governance services to ensure scalable, reusable enterprise solutionsImplement model monitoring, guardrails, and explainabilit
via Jobfound
Skills
- Machine Learning
- Microsoft Azure
- Databricks
- MLOps
- Natural Language Processing
- Generative AI
About Fearless
Everything else Fearless has open, where they are hiring and what those postings say they pay.
Fearless on hyr- This role is in
- USA