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coding, automated testing, deployment, and ongoing monitoring of production environments. Required qualifications for the position: Proven experience in at least two of the areas in the job description
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Kubernetes. Participating in the full feature lifecycle, from requirements gathering and architectural design to coding, automated testing, deployment, and ongoing monitoring of production environments
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and code. Competences and Skills: • Experience in MLOps, cloud/edge computing, software architectures, data engineering/ML tooling, and reinforcement learning. • Good collaboration capabilities
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