Machine Learning Engineer

Beschreibung

Job Zusammenfassung In dieser Rolle entwickelst du ML-Infrastrukturen, um Ranking-Modelle für die Kundeninhalte zu erstellen, zu überwachen und zu skalieren, während du mit einem interdisziplinären Team zusammenarbeitest. Job Zusammenfassung In dieser Rolle entwickelst du ML-Infrastrukturen, um Ranking-Modelle für die Kundeninhalte zu erstellen, zu überwachen und zu skalieren, während du mit einem interdisziplinären Team zusammenarbeitest. Deine Rolle im Team Build the ML infrastructure to develop, train and deploy Wolt's ranking models that select the content to display to our customers. Work end-to-end, from use case design to implementation, delivery and monitoring of your solutions. Maintain our production ML stack and raise the team's ML engineering excellence bar. Liaise with Wolt's ML Platform team to adopt different ML technologies and to create technical requirements for their solutions. Contribute to Wolt ML Engineering and Applied Science communities. Be part of a cross-disciplinary team with Applied Scientists, Software Engineers and Analysts to provide solutions to customer problems with a direct impact on the company's business KPIs. Work at Wolt's scale: Wolt operates in 30 different markets with millions of customers. Unsere Erwartungen an dich Qualifikationen You have deployed and ran ML models in production at scale, maybe with hundreds of RPS and low latency. Erfahrung You are experienced in end-to-end machine learning deployments and maintenance of ML systems and have at least 2+ years of experience in ML/MLOps. You bring solid experience in scaling solutions, monitoring ML stacks and troubleshooting ML deployments to the table. You can help with the technical issues the teams encounter. You are experienced in implementing real-time inference ML models in production. Good understanding of ML and MLOps principles as well as Software engineering experience in Python should complete your profile. Experienced in Docker, Kubernetes, workflow orchestration tools (e.g. Flyte), model and experiment registries (e.g. MLflow) and model serving systems (e.g. Seldon). You have solid communication and collaboration skills and are experienced in coordinating initiatives with your team and main stakeholders. Unser Angebot This role can be based in one of our tech hubs in Berlin, Helsinki, or Stockholm, or you can work remotely anywhere in Finland, Sweden, Germany. Benefits Gesundheit, Fitness & Fun 🎳 Team Events Themen mit denen du dich im Job beschäftigst Machine Learning AI Metadaten Level: Erfahren Job Feld: Data Anstellung: Vollzeit Vertragsart: Unbefristetes Dienstverhältnis Arbeitsmodell: Full Remote, Hybrid Unternehmenstyp: Etablierte Firma Branche: Nahrungs-, Genussmittel Ort: Berlin | Deutschland

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