AI Engineer
Zurich Insurance
full-time
Posted on:
Location Type: Office
Location: 🇨🇭 Switzerland
Visit company websiteJob Level
JuniorMid-Level
Tech Stack
AzureCloudDockerJavaScriptKubernetesMicroservicesNoSQLPythonReactSpring BootSpringBootSQL
About the role
- Identify and translate business needs into technical requirements.
- Design and build AI solutions and agents with scalable architectures.
- Create and execute test cases, resolve issues, and use feedback to refine model performance.
- Collaborate with data scientists, analysts, and stakeholders to address data needs and support automation initiatives.
- Acquire, cleanse, and manage datasets to ensure high data quality and model accuracy.
- Design, implement and maintain data pipelines for data ingestion, processing, and transformation in Azure Cloud.
- Set up robust cloud infrastructure to enable deployment of AI/ML solutions in production.
- Deploy models as APIs or microservices and apply MLOps and DevOps best practices.
- Manage authentication and authorization using Azure AD, Okta, OAuth, or similar systems.
- Manage Zurich’s AI governance framework and promote fairness while guiding AI use cases.
Requirements
- Approximately 5+ years of experience in AI/ML Engineer/Data Scientist role
- Degree in Computer Science, Data Science, Information Systems, or a related field.
- Hands-on experience with LLMs, AI Agents, APIs, Databricks, ADF, LogicApp, Data modeling, and Python.
- Familiarity with LangChain, RAG, MCP, Swagger UI, and modern data platforms.
- Solid understanding of data processing, model evaluation, and deployment practices.
- Knowledge of Relational SQL, NoSQL databases, web technologies- Streamlit, React.js, HTML, etc., and visualization tools- PowerBI.
- Familiarity with version control systems such as Git/Gitlab.
- Understanding of Microservices architecture.
- Experience developing and deploying Microservices solutions using Docker, Kubernetes, FastAPI, SpringBoot.
- Experience designing and implementing automation workflows using Microsoft Power Platform (Power App/Automate) would be an asset.
- Ability to work collaboratively in cross-functional teams and communicate complex technical concepts clearly to both technical and non-technical users.
Benefits
- We empower different business functions with automation and AI solutions.
- Wide range of opportunities across business areas.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI solutionsML modelsdata pipelinesdata processingmodel evaluationAPIsmicroservicesPythonRelational SQLNoSQL
Soft skills
collaborationcommunicationproblem-solvingdata managementtechnical translation