Senior Machine Learning Engineer

Beschreibung

Job Zusammenfassung In dieser Rolle entwirfst und entwickelst du produktionsreife ML-Modelle für Personalisierung und LiveOps-Management, einschließlich End-to-End-Verwaltung von Datenerfassung, Training und Betrieb der Systeme. Job Zusammenfassung In dieser Rolle entwirfst und entwickelst du produktionsreife ML-Modelle für Personalisierung und LiveOps-Management, einschließlich End-to-End-Verwaltung von Datenerfassung, Training und Betrieb der Systeme. Deine Rolle im Team Lead the design, development, and deployment of production-grade ML models, primarily for personalisation and LiveOps management. Own ML systems end-to-end, including data preparation, training pipelines, inference services, monitoring, and iteration. Support the development of a central ML platform to enable scalability through reusability and standardization of development workflows. Translate product and business problems into scalable ML solutions, balancing model quality, performance, and cost. Help define and implement best practices for model lifecycle management, versioning, evaluation, and retraining. Collaborate with data engineers and backend engineers to integrate ML systems into live products. Mentor and support other ML engineers, helping raise the overall ML maturity of the organization. Be our main ML advocate and promote internal knowledge sharing that helps build our AI/ML community. Stay up to date with applied ML and MLOps practices and assess their relevance for Stillfront's needs. Unsere Erwartungen an dich Ausbildung Degree in Computer Science, Data Science, Mathematics or related quantitative disciplines. Qualifikationen Strong grounding in machine learning fundamentals and algorithms, with demonstrated ability to select, tune, and evaluate models for real-world problems. Familiarity with cloud-based environments and production infrastructure, preferably GCP. Pragmatic and impact-driven, with the ability to operate in ambiguous environments and turn loosely defined problems into shipped solutions. Erfahrung 6+ years of experience as a Machine Learning Engineer or similar role, with a proven track record of shipping ML models to production. Hands-on experience throughout the full ML lifecycle: from data exploration and feature engineering to deployment and monitoring. Solid programming skills, especially in Python, SQL and large-scale data processing languages, as Spark. And experience with common ML frameworks and libraries (e.g. scikit-learn, PyTorch, pyspark, TensorFlow). Experience integrating ML models into production systems via APIs, batch jobs, or streaming pipelines. Experience contributing to collaborative codebases using Git and familiar with best practices. Benefits Gesundheit, Fitness & Fun 🎳 Team Events Themen mit denen du dich im Job beschäftigst Machine Learning AI Gaming Industry Metadaten Level: Senior Job Feld: Software, Data Anstellung: Vollzeit Vertragsart: Unbefristetes Dienstverhältnis Arbeitsmodell: Hybrid, Onsite Unternehmenstyp: Etablierte Firma Branche: Internet, IT, Telekom Ort: Hamburg, Berlin | Berlin | Deutschland | Hamburg

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