20 publicaciones de empleo destacadas de mlops engineer en madrid, md (¡Están contratando!)

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- Jornada completa
- Trabajo híbrido
- Azure
- Inglés
- Máster
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- Español
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Bain & Co. —Madrid, Madrid provincia
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- Azure
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- Jornada completa
- Español
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Ekkiden —Madrid, Madrid provincia
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Monks —Madrid, Madrid provincia
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Lead Data Platform Engineer (Databricks)
SIX Group AG —Madrid, Madrid provincia
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Deloitte —Madrid, Madrid provincia
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SIX Group AG —Madrid, Madrid provincia
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DATA ENGINEER CONSULTANT - DATA & IA NEGOCIO
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JLL —Madrid, Madrid provincia
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Kyndryl —Madrid, Madrid provincia
- Jornada completa
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Straumann Group —La Moraleja, Madrid provincia
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Senior GenAI Engineer – LLMs & RAG

Accenture -
Madrid, Madrid provincia

Solicitar ahora

Detalles del empleo

Jornada completa

Cualificaciones

TensorFlow
CI/CD
Azure
Derecho
Inglés
Máster
AWS
Terraform
APIs
Escalabilidad
Cloud
Servicios financieros
Inteligencia artificial
Python

Descripción completa del empleo

At Accenture, we believe in technology as the engine for the total reinvention of the company. We work with the leading platforms and partners in the market to drive our clients' businesses through digitalization, AI, and data. If you want to be part of a Great Place To Work® and join a team of over 801,000 professionals worldwide, keep reading:

What You’ll Be Doing
As a Senior AI Engineer in our Data & AI team, you will:

Design and build scalable GenAI pipelines using modern orchestration frameworks and cloud services.
Manage full RAG (Retrieval-Augmented Generation) pipelines: ingestion, chunking, embeddings, vector storage, retrieval, and generation.
Integrate and manage foundational models (FMs) from platforms like Amazon Bedrock and OpenAI.
Collaborate with cross-functional teams to define architecture and operationalize AI models in production environments.

The position is based in Madrid, Barcelona, Coruña, Málaga, Sevilla in a hybrid work model, combining remote work with in-office collaboration to foster team synergy.
You must reside in Spain and have a valid work permit.

Responsibilities

Develop and deploy end-to-end AI solutions using LLMs, LangChain/LangGraph, and cloud-native tools.
Apply ML/DL frameworks (TensorFlow, PyTorch, Hugging Face) to solve real-world problems.
Ensure code quality, scalability, and maintainability following software engineering best practices.
Monitor and optimize performance of deployed models and pipelines.

Must-Have Skills

3+ years of hands-on experience in Artificial Intelligence.
Strong Python development skills.
Experience with LangChain or LangGraph for GenAI orchestration.
Deep understanding of LLM fundamentals: Transformers, attention mechanisms, embeddings, tokenization.
Proficiency in at least one cloud platform (AWS, Azure, or GCP).
Experience with Azure AI Studio or Amazon Bedrock.
Strong experience with RAG pipelines and OpenAI APIs.
Familiarity with ML libraries: scikit-learn, Pandas, Numpy.
Excellent communication skills in English (B2/C1 level).

Nice-to-Have Skills

Knowledge of Responsible AI and Guardrails.
Experience with Amazon SageMaker, semantic search tools (Kendra, OpenSearch).
Familiarity with data visualization tools (Matplotlib, Seaborn, Plotly).
Exposure to CI/CD and MLOps practices.
Understanding of Infrastructure as Code (Terraform, CloudFormation).
Experience in financial services or regulated environments.
Contributions to the open-source AI community.

What We Offer

At Accenture, recognized as a Great Place To Work®, we embrace a hybrid work model that fosters human connection through technology and collaboration. We are proud to be named the most diverse company in the world by Refinitiv.

You’ll also enjoy:

Health, life, and accident insurance
Medical services and wellness programs
Flexible compensation and stock purchase plans
Flexible schedules and vacation policies
Personalized training paths
Sustainability programs and Accenture Foundation initiatives
Employee diversity networks
Additional perks: Bankinter office benefits and profit sharing

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