Core Platform Engineering MLOps Architect

As MLOps Architect, you will leverage cutting edge technologies and best practice methodologies to build solutions that will help users across the bank deploy their models efficiently and reliably. We are building a diverse, cross-functional team of MLOps engineers, software engineers, DevSecOps specialists and data scientists to deliver highest-grade AI & MLOps processes, frameworks and services for the entire bank.,

• develop robust and scalable solutions in the domain of AI model operations (MLOps and DevSecOps) with strong focus on next generation models
• work in an agile setup to provide technical solutions that will vastly improve the lives of end users such as data scientists, quants, and IT
• bring considerable savings to UBS by improving the time to market of our AI applications, whilst adhering to the operational controls and governance
• identify opportunities to bring in the best of breed technical solutions that will enable our AI/ML development practices to be world class
You will contribute to initiatives such as:
• building frameworks and pipelines for self-serviced model deployment
• automate model packaging and deployment into prod environments, with traceability on model version, experimentation and control checks
• develop infra for centralized management of model artifacts
• building automated model performance monitoring services to monitor model health and report data to data scientists, model owner, and model validators
• enable model testing such as shadow testing and A/B testing
• providing security protection (malicious code execution, prompt injection, data leakage, LLM jailbraking)
  
  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? Join our team to help the bank deploy AI models quickly and efficiently!, extensive experience writing production-ready code, hands-on experience with different programming paradigms and willingness to quickly learn and start using various technologies
• senior-level Python programming knowledge. Good knowledge of other programming languages is a plus
• extensive platform and cloud knowledge
• extensive practical experience with DevOps, such as building CI/CD pipelines on GitLab
• experience with deployment and tools such as Docker and Kubernetes
• ideally experience and knowledge of MLOps, GitOps, and Infrastructure-as-code
• practical experience with tools such as MLFlow, Ansible, Terraform is a strong advantage
• some practical experience with model development, foundational models, GenAI, or tools such as sklearn, TensorFlow, PyTorch, Keras, LangChain, etc. is a plus
• familiarity with data engineering, data management, security and compliance is a plus
• you enjoy working hands-on and writing code that is secure, stable, scalable and well-performing
  
  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?, 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.

UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.Your team AI Model Operations team is a new and 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. Our 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. We are a multinational team with diverse backgrounds and we strongly value different perspectives, skills and experiences which helps us build the best product for our clients. If your interests and skills closely match a good part of the skills listed below - let us know!