As a leading global software product company in the field of Compliance & Automation, IMTF Group develops cutting-edge RegTech 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 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 experience5+ years of hands-on AI / ML platform engineering experience, with Kubernetes, Spark, and data engineering technologiesExperience in security sensitive product deployment scenarios such as health, defense, intelligence or finance is an advantageStrong understanding of distributed system design, AI platforms (LangChain, PyTorch, SparkML), and MLops practices including MLFlow and KubernetesExperienced in writing clean, maintainable, and testable code , applying principles such as clean architecture, agile methodologies, cloud-native development Kubernetes , and modern software engineering practicesFamiliarity 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 assetAbility to collaborate effectively within cross-functional teamsExcellent problem-solving, debugging, and troubleshooting skillsStrong verbal and written communication skills in EnglishBenefits
Make the world safer : Help prevent financial crime and support our customers in creating a safer worldBe part of a leading RegTech : Contribute to a well-established, innovative company in SwitzerlandInternational exposure : Work with global clients on diverse, challenging projects in a multicultural teamOwnership and growth : Take responsibility from day one and develop your skills and careerFlexible work environment : Enjoy hybrid work and flexible hoursPaid education : Access opportunities for further training to enhance your expertiseAt 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.