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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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, Medicine, Pharmacy, Epidemiology, or a related discipline • Strong interest in epidemiological methods, data analysis, and coding (e.g., R, Stata, or similar) • Interest in women’s health, fertility
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and web hybrid applications (apps), which integrate web technologies, such as JavaScript, with native code on platforms like Android or iOS. These systems are now extensively used across critical