Capgemini

AI Field Data Engineer

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SeniorHybryda·WarszawaFull-time

#470170·Dodano 16 dni temu·2

Źródło: nofluffjobs.com

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Tech Stack / Keywords

Machine LearningAIMLOpsLangChainHugging FaceCloudAWS Azure GCP MLflowDegree

Podsumowanie oferty

As an AI Field Data Engineer at Capgemini Engineering, you will work with strategic customers to turn complex challenges into production-grade AI systems and build first-of-their-kind AI applications. The work includes solutions using LangChain, DSPy, Hugging Face, and MLflow.

Wymagania

4+ years of hands-on experience in Machine Learning, Generative AI, MLOps, and Software Engineering, including delivery of productionised models and AI systems.
Proficiency in GenAI tools and frameworks, including LangChain, DSPy, and Hugging Face, with 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.
Cloud and MLOps experience across one or more of AWS, Azure, or GCP, including 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 by turning ambiguous business problems into scalable, production-ready technical architectures.
Build production GenAI applications, including multi-agent solutions using Agent Bricks, Genie, LangChain, DSPy, and Hugging Face, 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.
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; additional packages, such as dental, senior care, and oncology, are 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 training.
Hybrid working model after onboarding, with access to a modern office and an ergonomic work-from-home setup including a laptop, monitor, and chair.
Training budget.
Sport subscription.
Mobile phone.
In-house training.
Free coffee.
Bike parking and free parking.

Premie

Opieka zdrowotna

Ubezpieczenie

Dofinansowanie szkoleń

Karta sportowa

Kursy językowe

Szkolenia wewnętrzne

Telefon

Napoje w biurze

Parking dla rowerów

Parking dla aut

Capgemini

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