Senior AI/ML Platform Engineer
Role details
Job location
Tech stack
Job description
- 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
Do you have experience in gRPC?, Do you have a Master's degree?, * 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 & conditions
- 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
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. If you require alternative methods of application or screening, you must approach the employer directly to request this as Indeed is not responsible for the employer's application process.