Responsibilities

Design, develop, test, maintain and improve the AI/ML infrastructure for our enterprise software solution based on a scalable micro service architecture running on Kubernetes
Write high-quality, clean, maintainable, secure and reliable DevOps routines and Helm Charts
Work across the entire backend stack, from integrating with event-driven architectures using Kafka, gRPC as well as REST APIs and robust data engineering pipelines
Leverage modern AI/ML lifecycle technologies (MLFlow) and integrate with scalable data pipelines (Spark)
Drive the evolution of our architecture and technology stack, ensuring scalability, performance, reliability and security at ISO 27001 level
Support the deployment, monitoring, and optimization of models in complex and varied production environments, including air-gaped product usage scenarios with or without GPU availability
Contribute to model and data pipeline design decisions to ensure the customer deployed Kubernetes stack reliability

Basic qualifications

University degree in Computer Science, Platform Engineering, or equivalent work experience
5+ years of hands-on AI/ML platform engineering experience, with Kubernetes, Spark, and data engineering technologies
Experience in security sensitive product deployment scenarios such as health, defense, intelligence or finance is an advantage
Strong understanding of distributed system design, AI platforms (LangChain, PyTorch, SparkML), and MLops practices including MLFlow and Kubernetes
Experienced in writing clean, maintainable, and testable code, applying principles such as clean architecture, agile methodologies, cloud-native development Kubernetes, and modern software engineering practices
Familiarity with our ML/AI stack (Spark, MLFlow, Delta Lake, PyTorch incl. Distributed, TensorFlow, ONNX) and backend technologies such as Helm and Kubernetes is a strong asset
Ability to collaborate effectively within cross-functional teams
Excellent problem-solving, debugging, and troubleshooting skills
Strong verbal and written communication skills in English

Make the world safer: Help prevent financial crime and support our customers in creating a safer world
Be part of a leading RegTech: Contribute to a well-established, innovative company in Switzerland
International exposure: Work with global clients on diverse, challenging projects in a multicultural team
Ownership and growth: Take responsibility from day one and develop your skills and career
Flexible work environment: Enjoy hybrid work and flexible hours
Paid education: Access opportunities for further training to enhance your expertise

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Fulltime Machine Learning Data Science Mlops Ai