GenAI Field Data Engineer - Hybrid, Production ML

Capgemini Engineering; Województwo mazowieckie; Híbrido; PLN 180.000 - 290.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Yearly financial bonus

Private medical care with Medicover

Life insurance

NAIS benefit platform access

NEXT training platform / Udemy access

Descripción de la vacante

Capgemini Engineering in Poland seeks an AI Field Data Engineer to translate complex business challenges into production-grade AI systems. You will work with strategic customers to build GenAI applications and manage ML models in production, stressing measurable outcomes.

Ideal candidates have 4+ years in ML/GenAI, strong LangChain/DSPy/HuggingFace skills, and robust cloud/MLOps experience, with 3+ years in client-facing roles. Hybrid work model offered with comprehensive training and benefits.

Formación

• 4+ years in Machine Learning, Generative AI, MLOps and Software Engineering with production models
• Proficient with GenAI tooling (LangChain, DSPy, HuggingFace) and deployed multi-agent solutions
• 3+ years of customer-facing consulting and stakeholder engagement
• Strong cloud/MLOps experience across AWS/Azure/GCP and MLflow for tracking and deployment
• Graduate degree in a quantitative field (CS/Math/Stats/Engineering)

Responsabilidades

• Design end-to-end AI solutions translating business problems into scalable architectures
• Build production GenAI applications with multi-agent architectures
• Deploy and manage ML models in production using MLflow and MLOps across cloud platforms
• Shape customer AI product vision and define AI roadmaps aligned to business outcomes
• Establish best practices for AI engineering and reusable frameworks

Conocimientos

GenAI tooling

LangChain

DSPy

HuggingFace

MLOps

Cloud platforms (AWS, Azure, GCP)

Educación

Bachelor's or Master’s degree in CS/Math/Stats/Engineering

Herramientas

AWS

Azure

GCP

MLflow

Agent Bricks/GenAI frameworks

Descripción del empleo

Capgemini Engineering in Poland seeks an AI Field Data Engineer to translate complex business challenges into production-grade AI systems. You will work with strategic customers to build GenAI applications and manage ML models in production, stressing measurable outcomes.

Ideal candidates have 4+ years in ML/GenAI, strong LangChain/DSPy/HuggingFace skills, and robust cloud/MLOps experience, with 3+ years in client-facing roles. Hybrid work model offered with comprehensive training and benefits.