Key Responsibilities: Automation & Solution Development Design and implement automation workflows for model monitoring and validation using:
Azure Data Services (Data Factory, Synapse, Logic Apps)
Databricks for scalable data processing and analytics
Power BI for dynamic reporting and visualization
Power Automate for workflow orchestration and task automation
Build reusable components and templates to streamline model governance processes.
Generative AI Integration
Develop GenAI-based tools to automate:
Documentation generation and updates
Summarization of any Regulatory Policies/compliance
Intelligent summarization of model performance metrics
Natural language querying and interpretation of model outputs
Fine-tune LLMs and integrate them with internal systems for contextual automation.
Should have understanding and hands on experience of RAG, Lang Chain, Lang Graph, LoRA, QLoRA and other frameworks for developing Agentic AI frameworks
Should have experience in Agentic Framework
Should have good exposure to use multiple models for different use cases
Should have knowledge and experience into multi cloud environment to build GenAI application (Like Bedrock and SageMaker in AWS).
Short Description
Model Monitoring & Validation Support
Collaborate with model risk and validation teams to understand existing frameworks.
Identify and prioritize automation opportunities across different model types.
Ensure solutions are auditable, explainable, and compliant with regulatory standards (e.g., SR 11-7, IFRS 9, Basel III).
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Technical LeadEmployement Type: Full time