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Senior AI​/ML Platform Engineer

Job in Rüti, Zurich, Switzerland
Listing for: IMTF
Full Time position
Listed on 2026-02-06
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer, Data Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 CHF Yearly CHF 125000.00 150000.00 YEAR
Job Description & How to Apply Below

As a leading global software product company in the field of Compliance & Automation, IMTF Group develops cutting-edge Reg Tech solutions with a focus on Anti-Money Laundering and Anti-Fraud. We are dedicated to automating manual processes through the use of machine learning and data science, ensuring our clients have the most efficient and effective compliance solutions on the market.

We value innovation, excellence, and continuous learning at IMTF Group. We provide a dynamic, collaborative work environment where your ideas will be heard and your skills will be put to the test. If you are passionate about technology and motivated to make a significant impact in the compliance industry, this is the perfect opportunity for you to thrive and advance your career with us.

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 Dev Ops 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 (Lang Chain, PyTorch, Spark

    ML), 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, Tensor Flow, 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 crime and support our customers in creating a safer world
  • Be part of a leading Reg Tech: 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 environmentb>
    Enjoy hybrid work and flexible hours
  • Paid education: Access opportunities for further training to enhance your expertise

At IMTF, we are committed to treating all candidates with respect and equality, regardless of gender, religion, nationality, or any other characteristic. We embrace diversity and inclusion as integral components of our organizational culture, and we welcome candidates from all backgrounds to apply and contribute to our team.

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Position Requirements
10+ Years work experience
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