Capgemini

AI Field Data Engineer

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SeniorHybryda·WrocławFull-time·Umowa o pracę

#470434·Dodano 16 dni temu·1

Źródło: justjoin.it

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Tech Stack / Keywords

Machine Learning Generative AIMLOpsCloud

Podsumowanie oferty

As an AI Field Data Engineer at Capgemini Engineering, you will work with strategic customers to turn complex business challenges into production-grade AI systems. You will design end-to-end solutions, build production GenAI applications, and deliver and manage ML models using MLflow and MLOps across AWS, Azure or GCP.

Wymagania

4+ years of hands-on experience in Machine Learning, Generative AI, MLOps and Software Engineering, with a proven track record of delivering productionised models and AI systems.
Proficiency in GenAI tooling and frameworks, including LangChain, DSPy and HuggingFace, and practical experience building and deploying multi-agent solutions in real-world environments.
3+ years of customer-facing consulting experience, with the ability to communicate complex technical concepts clearly and build trusted relationships with strategic stakeholders.
Solid cloud and MLOps experience with one or more of AWS, Azure or GCP, including demonstrated use of MLflow for model tracking, versioning and deployment.
A graduate degree in a quantitative field such as Computer Science, Mathematics, Statistics, Engineering or a related discipline.

Obowiązki

Design end-to-end AI solutions, turning ambiguous business problems into scalable, production-ready technical architectures and bridging customer needs with technical feasibility.
Build production GenAI applications, including multi-agent solutions using technologies such as Agent Bricks, Genie, LangChain, DSPy and HuggingFace, with a focus on evaluation and optimisation.
Deliver and manage ML models in production using MLflow and MLOps best practices across AWS, Azure or GCP, ensuring robust, reliable and performant deployments.
Work consultatively with strategic clients to define AI roadmaps grounded in technical feasibility and aligned to measurable business outcomes.
Establish best practices for AI engineering and contribute to reusable frameworks.

Benefity

Yearly financial bonus.
Private medical care with Medicover, with additional packages such as dental, senior care and oncology available on preferential terms.
Life insurance.
Access to the NAIS benefit platform.
Access to over 70 training tracks with certification opportunities on the NEXT platform.
Free access to the Education First languages platform, TED Talks and Udemy Business materials and trainings.

Premie

Opieka zdrowotna

Ubezpieczenie

Szkolenia wewnętrzne

Kursy językowe

Capgemini

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