ML Platform Engineer (m/w) 100%
myitjob GmbH · Zürich, Zürich, Switzerland
Skills in this posting
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
The PivotHop read
- What a mlops engineer actually earnsmedian, seniority, by country
- Where mlops engineers move nextevery measured route out
- Machine Learning Engineer → MLOps Engineer51% readiness
- All open mlops engineer rolesthe full board
Where these skills also reach
- 2572 open solutions architect roles56% readiness from mlops engineer
- 585 open machine learning engineer roles54% readiness from mlops engineer
- 1092 open ai engineer roles50% readiness from mlops engineer
- 8951 open software engineer roles40% readiness from mlops engineer
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