Beschreibung
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities.
Where you can make a difference. Where no two days are the same. Your role As an AI Field Data Engineer at Capgemini Engineering, you will sit at the intersection of cutting-edge AI innovation and real-world business impact.
Embedded directly with our most strategic customers, you will translate complex, ambiguous challenges into production-grade AI systems that deliver measurable outcomes. This is a role for someone who thrives at the frontier — building first-of-their-kind AI applications. Your tasks Designing end-to-end AI solutions by transforming ambiguous business problems into scalable, production-ready technical architectures — bridging the gap between customer needs and technical feasibility Building production GenAI applications , including multi-agentic solutions leveraging technologies such as Agent Bricks, Genie, LangChain, DSPy and HuggingFace, with a strong focus on evaluation and optimisation Delivering and managing ML models in production using MLflow and MLOps best practices across cloud platforms including AWS, Azure or GCP,
Vollständige Beschreibung, Unternehmen und Bewerbungslink — nach der Anmeldung.
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