Senior AI Machine Learning Engineer 100% (w/m/d)

Your team

We are looking for a highly experienced Senior AI Machine Learning Engineer to design, build, and operate enterprise-scale AI solutions for a leading financial institution.

You will collaborate with AI, Data and Business teams to deliver and support scalable Generative AI, MLOps, AI Platform, and Cloud AI capabilities while ensuring operational excellence, security, and regulatory compliance.

Your role

• lead the design, development, and deployment of end-to-end AI/ML and Generative AI solutions
• build AI-powered applications including chatbots, RAG systems, and Agentic AI solutions with robust evaluation, monitoring, and performance frameworks
• develop and maintain scalable backend services, APIs, and data pipelines using Python, FastAPI, Apache Spark, and distributed processing technologies
• implement MLOps, and observability practices for model deployment, monitoring, optimisation, governance, and lifecycle management
• establish engineering standards and CI/CD frameworks to ensure code quality, testing, reproducibility, automated releases, and production-grade AI deployments
• collaborate cross-functionally with business, product, data, security, and operations teams in agile environments to deliver impactful AI solutions
• provide technical leadership, production support, and mentorship, coaching junior AI engineers and fostering a culture of continuous learning and knowledge sharing

Your expertise

• strong expertise in Python and modern AI ecosystems, including LangChain, LangGraph, PyTorch, Ollama, vLLM, and related frameworks for AI application development
• extensive experience designing, deploying, and operating enterprise-grade Generative AI solutions, including chatbots, RAG architectures, LLM applications, and locally hosted LLM deployments
• proficient in Azure Cloud AI platforms, Oracle databases, and enterprise integration technologies, delivering scalable and secure AI solutions
• deep knowledge of Machine Learning and NLP, including sentiment analysis, NER, document classification, topic modelling, and language understanding systems
• strong MLOps/AIOps expertise, covering reproducible pipelines, automated evaluation, model versioning, feature stores, observability, CI/CD automation, and AI lifecycle management
• hands-on experience with large-scale data engineering and distributed computing, leveraging Apache Spark, Ray, Kafka, and Qlik for data processing, ML workflows, and high-performance inference
• recognized for technical leadership, stakeholder management, ownership, and operational excellence

Preferred experience in

• Financial Services, Banking, Insurance, or Wealth Management
• regulated and highly secure environments
• Cloud or AI-related certification

Our offer

At UBS Card Center we embrace flexible working arrangements and offer different working models such as part-time, job-sharing and hybrid working. Our purpose-driven culture and global infrastructure help us connect and collaborate in agile ways to meet all our business needs. A working environment driven by innovation, digitalization, new mobile payment methods and customer experience awaits you.

Our culture

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. If you value good teamwork, can challenge others but also like to be challenged, then you have the right attitude to grow in our company. Ready to be part of our team and make an impact?

We are looking forward to your online application containing your complete application files via the link below.

UBS Card Center AG with its headquarters in Glattbrugg and an additional office in Manno TI is part of UBS Switzerland AG and employs over 750 people. As the leading credit card processor in Switzerland, we process over 3 million Visa and Mastercard credit cards. In doing so, we stand close by our customers' side - with experience, commitment and vision.