
501 - 1000 Mitarbeiter
Gegründet 1967
🤝 B2B
🛍️ eCommerce
🤖 Künstliche Intelligenz
B2B • eCommerce • Artificial Intelligence
OneMagnify ist ein Unternehmen, das sich auf die Schaffung optimaler Kundenerlebnisse durch digitale Transformation konzentriert. Sie sind spezialisiert auf eine Vielzahl von Dienstleistungen, darunter Kundenforschung, Markenerlebnis, UI/UX-Design, Website-Entwicklung, eCommerce und programmgesteuerte Medien, die durch KI unterstützt werden. Durch den Einsatz datengesteuerter Strategien und Technologie verbessert OneMagnify das Kundenengagement und entwickelt personalisierte Erlebnisse in großem Maßstab für ihre Kunden.
🕒 vor 1 Monat
🗣️🇺🇸🇬🇧 Englisch erforderlich
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501 - 1000 Mitarbeiter
Gegründet 1967
🤝 B2B
🛍️ eCommerce
🤖 Künstliche Intelligenz
B2B • eCommerce • Artificial Intelligence
OneMagnify ist ein Unternehmen, das sich auf die Schaffung optimaler Kundenerlebnisse durch digitale Transformation konzentriert. Sie sind spezialisiert auf eine Vielzahl von Dienstleistungen, darunter Kundenforschung, Markenerlebnis, UI/UX-Design, Website-Entwicklung, eCommerce und programmgesteuerte Medien, die durch KI unterstützt werden. Durch den Einsatz datengesteuerter Strategien und Technologie verbessert OneMagnify das Kundenengagement und entwickelt personalisierte Erlebnisse in großem Maßstab für ihre Kunden.
• Collaborate with strategic clients to identify where AI and data can drive meaningful action — not just generate insights • Translate client business challenges into technical approaches that are both rigorous and achievable • Serve as a trusted advisor who can simplify complex AI concepts for non-technical stakeholders • Provide hands-on technical direction for generative AI projects, including architecture decisions and solution design • Apply expertise in LLMs, data science, and object-oriented programming to guide delivery from prototype to production • Leverage tools like Databricks, Python, R, and SQL across the project lifecycle — including building and managing data pipelines, feature engineering, and model deployment within the Databricks ecosystem • Lead and develop a cross-functional team of data scientists, AI engineers, and software engineers • Set clear expectations, support career growth, and build a team culture oriented around craft and client outcomes • Model the technical and communication standards you expect from the team • Drive alignment across AI, analytics, strategy, and engineering disciplines within OneMagnify • Partner with delivery and operations teams to ensure AI workstreams integrate cleanly into broader project execution • Represent the AI practice in client-facing settings alongside strategy and creative counterparts • Stay current on the evolving AI landscape — new models, platforms, tools, and use cases — and bring relevant developments into client conversations and internal delivery • Contribute to OneMagnify's point of view on AI-enabled solutions and how the practice continues to grow
• Bachelor's degree in computer science, data science, engineering, or a related field; Master's degree preferred • 6+ years of experience in AI, data science, or ML engineering — with at least 2 years managing technical teams (data scientists, AI/ML engineers, or software engineers) • Proven ability to take AI projects from conception through production, including architecture decisions, model deployment, and stakeholder communication • Hands-on experience with LLMs, generative AI, and object-oriented programming • Proficiency in Python, R, and SQL • Hands-on experience with Databricks, including MLflow, Delta Lake, Unity Catalog, or Databricks-native model serving • Working knowledge of MLOps practices — model versioning, monitoring, retraining pipelines, and scaling models in production environments • Exposure to cloud-based ML platforms such as AWS SageMaker, Azure ML, or GCP Vertex AI • Comfortable presenting complex technical work to non-technical clients and executive stakeholders • Experience with agentic AI frameworks or orchestration tools (e.g., LangChain, AutoGen, or similar) is a nice to have • Familiarity with prompt engineering, LLM fine-tuning, or retrieval-augmented generation (RAG) in a production or client context • Experience in a digital services, consulting, or agency environment where AI work is delivered alongside strategy and creative disciplines
• medical, dental, and vision coverage • a 401(k) retirement plan • paid holidays • Flexible Time Off (FTO) so you can take time away to recharge when you need it • additional programs focused on wellness, financial security, and professional growth
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