Offer summary
Qualifications:
Cloud-native experience with machine learning engineering and AI platforms in a large-scale environment., Experience using major cloud services (Azure, AWS, GCP) for deploying ML models..
Key responsabilities:
- Design and implement ML pipelines integrated within cloud architectures.
- Operationalize ML models on cloud AI platforms and optimize data architectures to enhance performance.
- Lead integration of ML models into system architectures in a cloud environment.
- Collaborate with cloud advisors to leverage advanced features and establish best practices around AI Operations.
- Continuously monitor and enhance performance and efficiency of ML systems on cloud infrastructures.