Senior AI Platform Engineer — Hybrid, Flexible Hours

Imtf; Zürich; Híbrido; CHF 140.000 - 210.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

International exposure

Ownership from day one

Descripción de la vacante

IMTF Group is a leading global software product company specializing in compliance and automation. We design scalable AI/ML infrastructure and MLOps pipelines for enterprise software deployed on Kubernetes and microservices.

The role emphasizes collaboration with cross-functional teams to deliver secure, high-performance solutions. You will work on integrating AI/ML services with backend systems, optimizing model deployment, and contributing to DevOps and ISO 27001 compliant workflows.

Formación

• 5+ years of hands-on experience in AI/ML platform engineering.
• Strong experience with Kubernetes, distributed systems, data engineering, and AI/ML platforms.
• Familiarity with MLflow and PyTorch expected.
• 2+ years deploying AI/ML platforms in isolated/non-SaaS environments.

Responsabilidades

• Design, develop, test, and maintain scalable AI/ML infrastructure for enterprise software on Kubernetes and microservices.
• Develop reusable frameworks for AI model training and inference across environments.
• Build and maintain automated MLOps pipelines using MLflow and Spark.
• Integrate AI/ML services with backend systems via APIs and data pipelines (Kafka, gRPC, REST).
• Optimize deployment for performance, latency, and resource utilization, in varied GPU environments.
• Improve platform architecture, deployment automation, Helm charts, and DevOps workflows (ISO 27001).
• Support customer deployments with design decisions and training.

Conocimientos

AI/ML platform

Distributed systems

Software engineering

English communication

Educación

Bachelor's degree in CS or related field

Herramientas

Kubernetes

Spark

MLflow

PyTorch

gRPC

REST

Kafka

Helm

Descripción del empleo

IMTF Group is a leading global software product company specializing in compliance and automation. We design scalable AI/ML infrastructure and MLOps pipelines for enterprise software deployed on Kubernetes and microservices.

The role emphasizes collaboration with cross-functional teams to deliver secure, high-performance solutions. You will work on integrating AI/ML services with backend systems, optimizing model deployment, and contributing to DevOps and ISO 27001 compliant workflows.