Cloud MLOps Engineer

il y a 1 jour


Laeken, Belgique Koda Staff Temps plein

*FREELANCE* Cloud (ML)Ops Engineer Contract details Duration: ASAP until end of year, with extensions Language: Fluency in English Work setup: 50% onsite / 50% remote Process: 1 Stage Interview For a banking client, we are looking for a Cloud (ML)Ops Engineer to work at the intersection of cloud infrastructure, DevOps, and machine learning operations. You will help build and maintain a scalable, secure, and reliable platform supporting data scientists and analysts across their full workflow. Key responsibilities Design and build cloud-native platform services for AI models and data pipelines Support multi-user Jupyter environments and cloud IDEs Enable training, storage, serving, and monitoring of custom models (mainly high-throughput batch processing) Expose models via APIs for low-latency use cases Support Generative AI initiatives Manage infrastructure on AWS using Terraform, Docker, and Kubernetes Automate data and model lifecycle workflows (Airflow, Spark, Python) Ensure platform reliability, performance, and cost efficiency Support onboarding, troubleshooting, and continuous improvement of MLOps practices Collaborate with stakeholders across multiple locations and countries Requirements Strong interest in cloud, data, and AI Master's degree in ICT, Engineering Sciences, Business Engineering (informatics focus), or equivalent experience Strong Python skills and familiarity with the data science ecosystem Experience with AWS cloud infrastructure Docker & Kubernetes knowledge Infrastructure as Code (Terraform) CI/CD experience (e.g. Jenkins, GitHub Actions) Experience with big data tools such as Spark


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