MLOps Architect
Job Summary
To drive innovative AI solutions, the full-time MLOps Architect will lead cross-functional teams to identify high-impact opportunities, evaluate AI/ML platforms, and deliver proof-of-concepts, all while working remotely.
Key responsibilities
- Lead discovery sessions to identify AI/ML platform requirements and strategic objectives
- Architect and deliver rapid end-to-end proof-of-concepts demonstrating business value and operational readiness
- Design CI/CD and ML lifecycle automation strategies covering model training, validation, and governance
Required qualifications
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field
- 8+ years of experience designing and implementing enterprise data, analytics, AI, or cloud solutions
- 3+ years of hands-on experience with MLOps or AI platform architecture
- Experience with at least one major cloud platform: AWS, Azure, or Google Cloud Platform
- Strong understanding of CI/CD, Infrastructure as Code, and cloud-native architecture patterns
Complete Job Description
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