2 - 6 years
13 - 18 Lacs
Posted:5 hours ago|
Platform:
Work from Office
Full Time
Transition data science proof-of-concept models into secure, scalable, production-ready solutions, and ensure their reliable operation.
Design, develop, and operate AI applications on Azure Cloud infrastructure.
Build and maintain CI/CD pipelines tailored for AI workloads, enabling seamless integration and continuous delivery.
Monitor AI application performance, availability, and security, and proactively resolve issues to ensure reliable operations.
Apply software engineering best practices to AI application development, including modular design, version control, and automated testing.
Establish and promote best practices for AI application lifecycle management, including deployment, rollback strategies, and observability.
Collaborate with cross-functional teams to align AI solutions with business requirements and operational goals.
Develop containerized microservices for AI applications using Docker and manage them via Azure Container Services.
Set up and manage AI application endpoints, ensuring secure access and efficient scaling.
Contribute to the continuous improvement of development and operations processes for AI applications.
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