Deutsche Bank is looking to build world-class machine learning and AI capabilities within the bank by designing, implementing, and maintaining scalable infrastructure and automated pipelines that support the full machine learning lifecycle.
Requirements
- Experience in MLOps or DevOps roles, with a strong focus on cloud-native ML infrastructure
- Proven experience deploying ML models in production (batch and real-time), ideally in regulated or privacy-sensitive environments.
- Proficiency in Python, with solid software engineering fundamentals and experience using Terraform or Deployment Manager for infrastructure-as-code
- Hands-on experience with GCP ML tools: Vertex AI, AI Platform, BigQuery ML and CI/CD: Cloud Build, GitHub Actions, Jenkins
- Containerization & Orchestration: Docker, Kubernetes, GKE
- Experience deploying and managing generative AI models (LLMs) in production, including prompt engineering, evaluation pipelines, and safety guardrails
- Familiarity with observability tools such as MLflow, LangFuse, or Braintrust
Responsibilities
- Build and maintain CI/CD pipelines for ML workflows using GCP-native tools such as Cloud Build, Artifact Registry, and Cloud Deploy
- Containerize and orchestrate ML workloads using Docker, Kubernetes, and GKE (Google Kubernetes Engine)
- Collaborate with cross-functional teams to transition models from development to production, integrating them into customer-facing applications.
- Implement robust model monitoring, logging, and alerting using tools like Vertex AI Model Monitoring, Cloud Logging, and Cloud Monitoring
- Define and enforce best practices for model versioning, testing, and reproducibility using tools like MLflow and Vertex AI Pipelines
- Ensure infrastructure adheres to security and compliance standards, working closely with Cybersecurity and Data Governance teams
Other
- Hybrid working model with up to 60% work from home
- Close collaboration with data scientists, data engineers, product managers, and platform teams
- Uphold the highest standards of security, privacy, and compliance
- Work in the Cary office in accordance with the Bank’s hybrid working model.
- Act responsibly, think commercially, take initiative and work collaboratively.
