About the role

  • Senior AI/ML Platform Engineer developing AI/ML infrastructure for innovative RegTech solutions in Compliance & Automation. Collaborating on complex model deployment and ensuring system reliability.

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

Requirements

  • 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

Benefits

  • 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

Job title

Senior AI/ML Platform Engineer

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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