Join a global consultancy to design and build scalable Kubernetes-based ML infrastructure for production model-serving components. Focus on GPU workloads, low-latency inference, and MLOps pipelines. Contract role with high extension potential, fully remote and based in Europe.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
Our client are a global consultancy looking for a Machine Learning Platform Engineer to join one of their clients focusing on building Kubernetes based ML infrastructure for production model-serving components
Key Skills:
- Kubernetes & AWS/EKS Infrastructure - Strong hands-on experience building and operating Kubernetes-based ML infrastructure, preferably on AWS/EKS.
- GPU-Based ML Model Serving & Inference - Expertise in GPU workloads, production model serving, low-latency/high-throughput inference, ideally with NVIDIA Triton.
- MLOps & Production ML Engineering - Experience productionizing ML models, deployment pipelines, monitoring, troubleshooting, performance tuning, and scalable ML platform operations
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Contract Details:
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- This position will be paying up to €520 per day
- Initial contract until the end of the year with high likelihood for extension
- Fully remote
- Must have the right to work in Europe without needing visa sponsorship
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