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Data Engineering
MLOps
Key Responsibilities:
- Lead AI/ML strategy, solution architecture, and modernization initiatives.
- Design and deploy scalable models and intelligent systems.
- Oversee MLOps, data engineering, and model lifecycle management.
Required Qualifications:
- Bachelor's degree in Computer Science or related field; Master's or PhD preferred.
- 10+ years of experience in AI/ML, data science, or software engineering.
- 5+ years hands-on production AI/ML experience with MLOps.
Preferred Experience:
- AWS SageMaker, Bedrock, and RAG technologies.
- Secure enterprise and regulated environments.
- U.S. federal agency or healthcare sector background.
Partner Company
This company specializes in AI and machine learning solutions, focusing on secure, scalable production deployments. It fosters a collaborative culture with opportunities to work on advanced technologies and mentor others.