Hybrid AI/ML Computational Scientist for Enterprise Solutions

Accenture España; Galicia; Híbrido; EUR 70.000 - 95.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Private medical, life, and accident保险

Flexible benefits program

Personalized learning and career paths

Sustainability initiatives

Diversity and inclusion networks

Descripción de la vacante

Accenture Spain is seeking an 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 design scalable data and DevOps & MLOps pipelines for training and production, assess client needs, choose models (DL, Gen AI, LLMs), and ensure quality and reliability of deployed systems.

Formación

• Proven experience as an ML engineer or scientist, deploying models at scale in production.
• Hands-on experience with distributed systems, big data, and cloud computing.

Responsabilidades

• Formulate real-world problems into scalable AI/ML solutions.
• Develop and implement ML algorithms, models, and scalable data pipelines with DevOps & MLOps.
• Customize Deep Learning/Gen AI models for various use cases based on business needs.
• Engage in R&D of new AI and HPC algorithms and simulations for client solutions.
• Work with large-scale datasets and ensure high-quality input for training and production.
• Implement and maintain data storage/retrieval for models and knowledge.
• Justify model approaches in business terms.
• Collaborate with business and technical teams to deliver end-to-end production solutions.

Conocimientos

Deep Learning

Gen AI

ML Model Deployment

Python

Cloud & DevOps

Educación

Bachelor's degree or equivalent

Herramientas

TensorFlow

PyTorch

Cloud Platforms (AWS/GCP/Azure)

Descripción del empleo

Accenture Spain is seeking an 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 design scalable data and DevOps & MLOps pipelines for training and production, assess client needs, choose models (DL, Gen AI, LLMs), and ensure quality and reliability of deployed systems.