Senior AI Platform Engineer — Hybrid, Flexible Hours

Informatique-MTF S.A.; Zürich; Hybrid; CHF 120,000 - 180,000; Full time

Job summary

IMTF Group in Switzerland is seeking an experienced AI/ML Platform Engineer to design and scale enterprise-grade infrastructure on Kubernetes and microservices. You will build reusable frameworks for model training and inference, deploy automated MLOps pipelines, and integrate ML services with data pipelines, APIs, and backend systems, ensuring ISO 27001-aligned security and reliability.

Join a global RegTech leader fostering innovation, collaboration, and hands-on impact in a hybrid work

Qualifications

• Degree in Computer Science, Platform Engineering, or a related field, or equivalent practical experience.
• 5+ years of hands-on experience in AI/ML platform engineering.
• Strong experience with Kubernetes, distributed systems, data engineering, and AI/ML platforms, including Spark and vLLM or similar technologies.
• Good understanding of MLOps, including automated model training, testing, deployment, and monitoring. Familiarity with MLflow and PyTorch is expected.
• 2+ years of experience deploying AI/ML platforms in isolated or non-SaaS environments, ideally in production.
• Strong software engineering skills, with a focus on clean, maintainable, testable, and secure code.
• Excellent written and verbal communication skills in English.

Responsibilities

• Design, develop, test, and maintain scalable, secure, and reliable AI/ML infrastructure for enterprise software running on Kubernetes and microservices.
• Develop reusable frameworks and components for AI model training and inference across different customer environments.
• Build and maintain automated MLOps pipelines for model training, testing, deployment, and monitoring using technologies such as MLflow and Spark.
• Integrate AI/ML services with backend systems, event-driven architectures, APIs, and data pipelines using technologies such as Kafka, gRPC, and REST.
• Optimize model deployment and serving for performance, latency, throughput, and resource utilization, including isolated environments with limited connectivity and varying GPU availability.
• Improve platform architecture, deployment automation, Helm charts, and DevOps workflows to ensure scalability, reliability, and security in line with ISO 27001 requirements.
• Support customer deployments by contributing to technical design decisions, providing configuration guidance and training, and sharing operational best practices.

Skills

Kubernetes

Distributed systems

Data engineering

MLOps

Spark

PyTorch

MLflow

vLLM

APIs & data pipelines

Education

Degree in Computer Science or related field

Tools

Spark

MLflow

PyTorch

vLLM

Kubernetes

Job description

IMTF Group in Switzerland is seeking an experienced AI/ML Platform Engineer to design and scale enterprise-grade infrastructure on Kubernetes and microservices. You will build reusable frameworks for model training and inference, deploy automated MLOps pipelines, and integrate ML services with data pipelines, APIs, and backend systems, ensuring ISO 27001-aligned security and reliability.

Join a global RegTech leader fostering innovation, collaboration, and hands-on impact in a hybrid work