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Job Description
Structured overview of role & requirementsAbout This Role
Lead the design, development, and deployment of innovative AI solutions to simplify operations, achieve cost savings, and drive revenue growth across Deutsche Bank.
Manage and grow a high-performing Data Science and AI Engineering team, driving AI adoption and best practices within the organization.
Ensure governance compliance, oversee solution lifecycle including testing, validation, monitoring, and provide stakeholder demos and training materials.
Minimum Requirements
Minimum 18+ years of experience in Data Science and AI Engineering roles.
Proficiency in Python and frameworks such as FastAPI/Flask; experience with large language models (Gemini Model) and AI developer tools including Github, PyTorch, TensorFlow, MLflow, and Google Vertex AI.
Experience in cloud platform deployment and management, specifically Google Cloud Platform services like CloudRun, BigQuery, Cloud Composer, and CloudSQL.
Ability to architect scalable AI-powered applications, implement AI governance standards, and deliver production-grade software within SDLC frameworks.
Ideal Candidate Profile
Senior-level professional with strategic leadership experience in end-to-end AI solution architecture and engineering in large enterprises.
Proven ability to balance hands-on AI development, team leadership, stakeholder management, and governance.
Deep expertise in advanced AI models integration, cloud infrastructure for AI, and enforcing operational excellence and risk management in AI solutions.