AI ModelOps Engineer

Vor 3 Tagen

Zürich, Schweiz UBS Vollzeit
Your role
Do you have a curious mind, want to be involved in the latest technology trends and like to solve problems that have a meaningful benefit to hundreds of users?

Joining our team, you will have the chance to push your limits in understanding and utilising technologies to their full potential. We collaborate closely with our clients to deliver value, promoting the latest standards and use cutting-edge technologies that benefit our customers. And we deliver that in an Agile manner, so that we get early feedback and iterate quickly to maximise value

We're looking for an MLOps Engineer to:
• design, plan and deliver scalable & resilient solutions using the latest technologies
• provide technical solutions that will vastly improve the lives of the data scientists, quants and IT
• bring huge cost savings to UBS by improving the time to market of our AI/ML applications, whilst adhering to the operational controls and governance procedures
• identify opportunities to bring in the best of breed technical solutions that will enable our AI/ML development practices to be world class

Some of the potential projects are:
• decouple the application from the AI model so that IT puts the app in production, and the model developer can deploy the model independently
• automate the packaging of models and deployment into environment, with traceability on model version, experimentation and control checks
• enable shadow testing (for the engineers) so that authorized testers can see the output of the model (akin to a parallel run for the model but without using it)
• provide continuous model performance to track model performance metrics (accuracy) and detect performance drift and generate anomaly & impact alerts when there is a data quality or model degradation
• perform FinOps integration
• provide governance, auditability and model re-use/knowledge sharing through an easy to navigate portal
• tooling to generate automated compliance documentation for models
• provide security protection (malicious code execution, prompt injection, data leakage, inadequate sandboxing)

Your team
Join our MLOps team, an important unit within the Core Platform Engineering (CPE) department at UBS, operating under the GCTO function in the Technology Services division. CPE spearheads strategic technology projects, transformative initiatives, and regulatory compliance efforts. The MLOps team collaborates closely with the Applied AI & ML teams as part of the AI Accelerate initiative and plays a crucial role in optimizing efficiency and delivering quality service and products to our data scientists and engineers.
Our team offers comprehensive training tailored for cross-competency advancement and career progression.

Your expertise
• polyglot developer, able to code (or learn quickly) multiple languages such as python, java, javascript, html, golang, etc.
• able to quickly pickup multiple technologies and use them in the correct manner
• must know CI/CD pipelines and Agile frameworks, preferably with the MLOps context
• understanding or familiar with: SciKit-Learn, TensorFlow, Torch, ChatGPT, Llama, LangChain (or equivalent), RAG, Model Security, Jupyter Notebook / JupyterLab, Unit Testing, Integration Testing, E2E Testing, ETL/ELT, Python Virtual Environment, Containerization with Docker/Podman, GitLab, Azure DevOps, Kubernetes, Azure Load Balancer, Communication Standards, Communication Security, Non-functional KPIs (performance, scalability...), Splunk, Graphana, Kubernetes Container Monitoring.
• produce secure and clean code that is stable, scalable, operational, and well-performing. Understand the security principles in the banking systems, and be up to date with the latest standards (security, best practices) in IT
• knowledge in SQL, NoSQL, Vector DB, Graph DB is a plus

About us
UBS is the world's largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors..

We have a presence in all major financial centers in more than 50 countries.

How we hire
We may request you to complete one or more assessments during the application process. Learn more

Join us
At UBS, we embrace flexible ways of working when the role permits. We offer different working arrangements like part-time, job-sharing and hybrid (office and home) working. Our purpose-led culture and global infrastructure help us connect, collaborate, and work together in agile ways to meet all our business needs.

From gaining new experiences in different roles to acquiring fresh knowledge and skills, we know that great work is never done alone. We know that it's our people, with their unique backgrounds, skills, experience levels and interests, who drive our ongoing success. Together we're more than ourselves. Ready to be part of #teamUBS and make an impact?

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