Senior AI/ML Engineer — Production GenAI & MLOps

Accenture España; Barcelona; Híbrido; EUR 90.000 - 130.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Private medical insurance

Life and accident insurance

Flexible benefits program

Learning and career development

Descripción de la vacante

Accenture España seeks a senior AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients, combining custom models with cloud services to deliver production-ready outcomes. You will handle the full lifecycle—from data assessment to deployment—using DL, Gen AI, LLMs, and scalable MLOps pipelines.

Requirements include a Bachelor's degree or equivalent, and substantial experience deploying ML systems at scale, with strong CS foundations and cloud

Formación

• Significant experience deploying ML models to production at scale, with monitoring and auditing.
• Strong foundations in computer science, system architecture, and programming.
• Experience with distributed computing, big data, HPC, and cloud computing.
• Proven track record of building and deploying AI/ML software to cloud environments.

Responsabilidades

• Formulate practical, scalable AI/ML solutions for real-world problems.
• Develop and implement ML models and data pipelines with DevOps & MLOps pipelines.
• Customize DL/Gen AI models for diverse use cases based on business needs and data.
• Engage in R&D of new AI algorithms and simulations for client projects.
• Work with large datasets and preprocess data for training and production.
• Maintain efficient data storage and retrieval for models and knowledge.

Conocimientos

ML Engineer

Model deployment

Distributed computing

Cloud environments

Python

Educación

Bachelor's degree or equivalent

Herramientas

TensorFlow

PyTorch

LangChain

LangGraph

CrewAI

AWS

Azure

GCP

C++

Java

R

SQL

Descripción del empleo

Accenture España seeks a senior AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients, combining custom models with cloud services to deliver production-ready outcomes. You will handle the full lifecycle—from data assessment to deployment—using DL, Gen AI, LLMs, and scalable MLOps pipelines.

Requirements include a Bachelor's degree or equivalent, and substantial experience deploying ML systems at scale, with strong CS foundations and cloud