Job Description

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Databricks with AI

Key Responsibilities:

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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

Technical Requirements:

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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

Preferred Skills:

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Technology->Data Engineering->Databricks