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Senior AI Platform System Engineer

imtf · Zürich

Nouveau
Hybrid Senior 🇬🇧 English
Kubernetes Spark vLLM MLflow PyTorch TensorFlow ONNX Delta Lake Ray Helm gRPC REST Kafka

Description du poste

About the role

IMTF Group, a Swiss RegTech company focused on Anti-Money Laundering and Anti-Fraud, is looking for a Senior AI Platform System Engineer in its Research and Development department. The workplace is hybrid, and the role builds and maintains AI/ML infrastructure for enterprise software.

Key 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 customer environments.
  • Build and maintain automated MLOps pipelines for training, testing, deployment and monitoring using MLflow and Spark.
  • Integrate AI/ML services with backend systems, event-driven architectures, APIs and data pipelines using Kafka, gRPC and REST.
  • Optimize model deployment and serving for performance, latency, throughput and resource usage, including isolated environments with limited connectivity and varying GPU availability.
  • Improve platform architecture, deployment automation, Helm charts and DevOps workflows in line with ISO 27001 requirements.
  • Support customer deployments with technical design input, configuration guidance and training.

Required profile

  • 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.
  • 2+ years deploying AI/ML platforms in isolated or non-SaaS environments, ideally in production.
  • Strong software engineering skills, with clean, maintainable, testable and secure code.
  • Excellent written and verbal communication skills in English.

Required skills

  • Kubernetes, distributed systems, data engineering and AI/ML platforms including Spark and vLLM or similar.
  • MLOps, including automated model training, testing, deployment and monitoring; familiarity with MLflow and PyTorch expected.
  • Nice to have: experience in anti-financial crime (AML, CTF, sanctions, fraud), military and defense or law enforcement; familiarity with TensorFlow, ONNX, Delta Lake, SparkML, Ray and Helm.

What we offer

  • Contribution to a leading RegTech company in Switzerland.
  • International exposure working with global clients in a multicultural team.
  • Flexible work environment with hybrid work and flexible hours.

Questions fréquentes

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Source : ats:workable

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imtf

Zürich