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Data Science and AI Engineering Lead, VP

Deutsche Bank · Bengaluru

CompanyDeutsche Bank
RoleData Science and AI Engineering Lead, VP
LocationBengaluru
Work modeOn-site
Experience6+ years
Job typeFull-time

About this job

Deutsche Bank is hiring a Data Science and AI Engineering Lead at VP level in Bangalore for the Operations and Controls function of its Corporate Bank and Investment Bank (CBIBOC). You will lead the design, build and rollout of new AI solutions that simplify and speed up operations and controls work.

About 70 percent of the role is hands-on development, from no-code automations and multi-agent solutions to data products and scalable AI built with IT. You will also help lead a team of about 20 across London, Bangalore and New York and make sure AI governance rules are met.

Eligibility

  • Experience taking ML and AI solutions to production in a tier-1 bank, ideally in operations or controls
  • Hands-on with tools such as PyTorch, TensorFlow, scikit-learn, MLflow, Hugging Face, LangChain and Vertex AI
  • Experience with no-code/low-code AI tools for fast automation
  • Front-to-back AI solution design, especially agentic AI
  • Data and feature engineering with BigQuery, PostgreSQL, Spark or similar

Skills required

Machine LearningGenerative AIAgentic AIPythonPyTorchscikit-learnLangChain / LangGraphGoogle Vertex AIBigQueryMLflow

What you will do

  • Design, build and deploy new AI solutions for operations and controls
  • Evaluate and prioritise AI use cases by ROI, feasibility and risk
  • Test, control and monitor AI solutions with guardrails
  • Track KPIs to prove value and keep the AI inventory up to date
  • Help lead and develop the data science and AI team

How to apply

  • Open the official Deutsche Bank job page with the Apply button and submit your application there.
  • Tailor your resume to AI solutions you took to production in banking, their business results and how you met governance.

Before the interview, prepare:

  • Use-case selection: scoring ROI, feasibility and risk for an operations process
  • Agentic design: a multi-agent flow for document review with human checkpoints
  • AI governance in banks: model inventory, validation and approval steps
  • Measuring value: KPIs for accuracy, cost saved and processing time

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Posted 9 Nov 2026 · Last checked 10 Nov 2026 · Official source

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