- Build AI driven internal applications using Databricks Python MLflow Unity Catalog Model Serving
- Design fine tune and deploy custom chatbots trained on private enterprise data vector search retrieval augmentation LLM orchestration
- Integrate Databricks models with internal web apps APIs and tools already used inside the bank
- Build pipelines that handle ingestion cleaning indexing and securing sensitive datasets
- Own the full lifecycle discovery architecture delivery monitoring
- Work closely with internal stakeholders BI Data Engineering Ops Risk Compliance to bring working AI solutions into production
- Operate with a solve it first explain it later mindset rapid prototyping fast iteration and clean handovers
- Strong Python engineering background comfortable building production quality code
- Hands on experience with Databricks workflows Delta Live Tables Unity Catalog MLflow Model Serving
- Experience building AI chatbots RAG pipelines vector search embedding stores and private LLM deployments
- Understanding of architectural patterns for secure deployment in financial institutions
- Ability to independently take vague business problems and convert them into concrete AI products
- Comfortable demoing your work to senior stakeholders
Technology->Data Engineering->Databricks