About the Role
Responsibilities Will Include
- Develop robust service logic to expose AI models via RESTful APIs (e.g., using FastAPI or Flask).
- Collaborate with data scientists, engineers, and product teams to translate business requirements into technical solutions.
- Work within Azure cloud infrastructure, leveraging containerised environments for scalable deployment.
- Support model lifecycle management using tools like Databricks Mosaic AI and AI Foundry, ensuring robust governance, traceability, and performance monitoring across environments.
- Implement data preprocessing pipelines and feature engineering workflows.
- Ensure secure, scalable, and maintainable codebases using best practices.
- Monitor deployed models and services, and iterate based on performance metrics and feedback.
- Maintain documentation and testing coverage for all developed components.
Skills And Experience
- Strong proficiency...
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