Venture Up München vor 2 Tagen

Senior Python Software Engineer

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Das ist der Job

Build the Serving Layer: Design and maintain the APIs and infrastructure that deploy models into the real world.

Darum lohnt es sich

Drive Operational Excellence: Implement automated testing, observability, and monitoring across the team's production systems. The Team: You’ll join a small, newly formed team inside a much larger engineering organisation, with a clear mission: help drive smarter, data‑driven pricing decisions across the business.

It’s a team that cares about impact, collaboration, and learning together, using modern tooling and genuine AI‑native workflows day to day.

What They’re Looking For: 4+ years of experience in Software Engineering, Data Engineering, DevOps, or MLOps Strong hands‑on Python, writing clean, production‑quality code Experience with CI/CD, Docker, and infrastructure‑as‑code such as Terraform Familiarity with cloud platforms, AWS preferred, and deploying services into production Exposure to or interest in ML model deployment, tools like MLflow or SageMaker are a strong plus A proactive, hands‑on mindset, someone who spots problems and drives solutions forward Genuine appetite for xayajpt using cutting‑edge LLM tools and agents to boost your own and the team’s productivity What They Offer: Competitive senior‑level package and: Hybrid working with meaningful in‑office collaboration time Flexibility to work from other locations internationally for part of the year Personal learning budget with a strong AI focus Gym discounts and travel perks Join a genuinely international team, working on products used at real global scale What You'll Do: Interessiert an dieser Stelle Sie finden alle relevanten Informationen in der unten stehenden Beschreibung.

Bridge Data Science and Production: Take pricing and demand models from experimentation to live, reliable production systems. Own the Pipelines: Keep data flowing reliably from source to model to output, with monitoring and alerting built in from the start.

Work Cross-Functionally: Partner daily with Data Scientists, Analysts, and Engineering to turn prototypes into production-ready solutions.

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