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ML Platform Engineer | Zurich OR Fribourg | Switzerland
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ML Platform Engineer | Zurich OR Fribourg | Switzerland

Acquism SARL
Zürich, ZH

Jetzt bewerben

Details zur Stelle

Festanstellung | 100% | Pensum: 90-100%

Qualifikationen

Informatik
Spark
Englisch
Kommunikationsfähigkeit
Debugging

Vollständige Stellenbeschreibung

Job Information

Date Opened

03/17/2026

Job Type

Full time

Industry

Financial Services

Work Experience

4-6 years

City

Zürich

State/Province

Zürich (de)

Country

Switzerland

Zip/Postal Code

8001

Job Description

Location: Zurich OR Fribourg (Switzerland)

Work Model: Hybrid – 3 days in office

Contract Type: Permanent

Responsibilities

Design, develop, test, and maintain AI/ML infrastructure within a scalable microservices architecture running on Kubernetes.
Build and maintain high-quality, secure, and reliable DevOps pipelines and Helm charts
Work across the backend stack, integrating event-driven systems (Kafka), gRPC services, and REST APIs
Develop and optimize data pipelines using modern data engineering tools (e.g., Spark)
Manage ML lifecycle processes using tools such as MLflow
Contribute to architectural decisions to improve scalability, performance, and system reliability
Support deployment and monitoring of ML models in complex production environments, including isolated (air-gapped) setups with varying hardware constraints (CPU/GPU).
Ensure platform reliability and robustness in customer-deployed Kubernetes environments
Maintain high security and compliance standards aligned with industry best practices (e.g., ISO 27001

Requirements

Degree in Computer Science, Engineering, or equivalent practical experience
5+ years of experience in AI/ML platform engineering or related roles
Strong experience with Kubernetes, distributed systems, and data engineering technologies
Hands-on experience with ML platforms and frameworks (e.g., MLflow, PyTorch, SparkML)
Familiarity with modern data stack technologies (e.g., Spark, Delta Lake, TensorFlow, ONNX)
Experience building clean, maintainable, and testable systems following modern software engineering principles
Knowledge of cloud-native development and DevOps practices (including Helm)
Experience working in security-sensitive or highly regulated environments is a plus.
Strong problem-solving and debugging skills
Excellent communication skills in English and ability to collaborate across teams

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