Python and databases and experience in frontend development in JavaScript. - Track record of delivering features end-to-end - from concept through prototyping to production. - Ability to work autonomously in a small, fast

: • Abgeschlossenes Studium im Bereich Informatik, Ingenieurwesen oder ähnlicher Fachrichtung • Mehrjährige Berufserfahrung innerhalb der Softwareentwicklung • Ausgeprägtes IT-Breitenwissen • Praktische Erfahrung

(d/f/m)Personio is growing rapidly. With that growth comes the increasing demand for machine learning solutions that don't just provide insights, but power real, production-ready products.As an ML Engineer, you will play a

(d/f/m)Personio is growing rapidly. With that growth comes the increasing demand for machine learning solutions that don't just provide insights, but power real, production-ready products.As an ML Engineer, you will play a

(d/f/m)Personio is growing rapidly. With that growth comes the increasing demand for machine learning solutions that don't just provide insights, but power real, production-ready products.As an ML Engineer, you will play a

(d/f/m)Personio is growing rapidly. With that growth comes the increasing demand for machine learning solutions that don't just provide insights, but power real, production-ready products.As an ML Engineer, you will play a

, performance, and cost-efficiency of data platforms • Participate in the team's on-call rotation to support production systems and respond to incidents • Collaborate with data scientists, analysts, and product engineers to

, performance, and cost-efficiency of data platforms • Participate in the team's on-call rotation to support production systems and respond to incidents • Collaborate with data scientists, analysts, and product engineers to

, performance, and cost-efficiency of data platforms • Participate in the team's on-call rotation to support production systems and respond to incidents • Collaborate with data scientists, analysts, and product engineers to

, you'll engage in real-world engineering work: analyzing large, production-grade repositories to create and evaluate technically challenging coding questions. You'll systematically explore multiple modules, connect related

, you'll engage in real-world engineering work: analyzing large, production-grade repositories to create and evaluate technically challenging coding questions. You'll systematically explore multiple modules, connect related

-tuning, evaluation, and production deployment • Continuously evaluate and optimize models for accuracy, latency, and cost • Collaborate with product and engineering teams to deliver robust, scalable, and user-friendly AI

-tuning, evaluation, and production deployment • Continuously evaluate and optimize models for accuracy, latency, and cost • Collaborate with product and engineering teams to deliver robust, scalable, and user-friendly AI

). • Collaborate with our ML engineers to create production-ready, specialized, and interactive computer vision models, and deploy them on a cloud infrastructure. • Establish a QA pipeline for mobile and web apps. • Review pull

). • Collaborate with our ML engineers to create production-ready, specialized, and interactive computer vision models, and deploy them on a cloud infrastructure. • Establish a QA pipeline for mobile and web apps. • Review pull

). • Collaborate with our ML engineers to create production-ready, specialized, and interactive computer vision models, and deploy them on a cloud infrastructure. • Establish a QA pipeline for mobile and web apps. • Review pull

impactful projects from API discovery and prototyping to production launch—writing crisp RFCs, validating with spikes, aligning stakeholders, and landing changes with observable outcomes. • Raise reliability and performance

impactful projects from API discovery and prototyping to production launch—writing crisp RFCs, validating with spikes, aligning stakeholders, and landing changes with observable outcomes. • Raise reliability and performance

impactful projects from API discovery and prototyping to production launch—writing crisp RFCs, validating with spikes, aligning stakeholders, and landing changes with observable outcomes. • Raise reliability and performance

, sustainability and enterprise systems come together to realize circularity in the chemical industry as operational reality at scale.In Your First 6–12 Months • Build the first production-ready middleware backbone for ERP-connected