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Open nowPosted 51 days ago

ML Platform Engineer (m/w) 100%

job-room.ch86,007 open roles

Where
Zürich, ZH, Switzerland
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Your applicationOpen nowML Platform Engineer (m/w) 100%job-room.ch · Zürich, ZH, Switzerland

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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

7.7% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.6%1 day
  2. 3.3%3 days
  3. 7.7%7 days
  4. 14.0%14 days
  5. 33.7%30 days
This job: posted 51 days ago

The posting

Job Informationen ######

Location: Zurich, hybrid Workload: Full-time Your tasks: Build and operate the ML infrastructure and platforms powering A1-s AI products Design systems for model training, evaluation, deployment, inference, and experimentation Build and optimise model serving and inference infrastructure for high-throughput and low-latency workloads Improve reliability, scalability, latency, and cost efficiency of AI systems Develop reliable pipelines for data preparation, training, evaluation, model release, and continuous improvement Build platforms and tooling that enable AI engineers and researchers to experiment, evaluate, and ship models faster Develop evaluation and benchmarking infrastructure to measure model quality, performance, and regressions Build production observability, monitoring, tracing, and alerting for AI/ML workloads Improve AI systems across reliability, scalability, latency, throughput, and cost Identify bottlenecks across the ML stack and continuously improve system performance Work closely with AI engineers, researchers, and product teams to turn evolving model requirements into production-ready infrastructure Tech Stack Python PyTorch / JAX LLM and ML serving infrastructure such as vLLM, SGLang, or TensorRT-LLM Cloud infrastructure Distributed systems ML/data pipelines and workflow orchestration GPU infrastructure and performance tooling Vector databases and retrieval infrastructure Ideal Experience Strong software engineering fundamentals and experience building production systems Experience building ML infrastructure, platforms, or production machine learning systems Experience with model deployment, inference, evaluation, or data pipelines Strong understanding of distributed systems and system reliability Ability to write clean, maintainable, production-quality code Comfortable working in ambiguous, fast-moving environments Bias toward ownership, experimentation, and continuous improvement

Benötigte Skills ######

  • CLOUD
  • Monitoring
  • Python
  • Machine Learning
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