Preferred Industry Background : IT
Work Experience : 8-12 years (AD or Senior Manager)
Qualification : Any IT
Annual Salary (CTC) : As per company norms
Determine which classes of AI can be used for client use cases provided
by the business (e.g., supervisory/reinforced learning, LLM models).
Define architecture for ML Ops platforms, including model management
and model deployment.
Work on either custom or GCP ML orchestration platforms for building,
managing, and deploying AI models.
Requirements
Strong experience in AI strategy and AI platform architecture for
banking clients.
Expertise in determining appropriate AI models for business use cases.
Proven ability to define and manage ML Ops platforms, including model
deployment.
Hands-on experience with custom or GCP ML orchestration platforms.