Production AI/ML Scientist - Gen AI & MLOps

Accenture; Bellprat; Híbrido; EUR 70.000 - 110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Private insurance

Wellbeing programs

Flexible benefits

Career development

Diversity & inclusion

Profit-sharing

Descripción de la vacante

Accenture is seeking an AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients. You will work across data assessment, model customization (including Deep Learning, Gen AI, and LLMs), and scalable DevOps/MLOps pipelines for training and production.

You will collaborate with business and technical teams, work with large datasets, and ensure reliable, production-ready outcomes with measurable value for clients in a hybrid work environment.

Formación

• Proven experience deploying models in production at scale.
• Strong foundations in computer science and distributed systems.
• Experience with cloud deployment of AI/ML software.
• Hands-on experience with big data and HPC is a plus.

Responsabilidades

• Formulate real-world problems into scalable AI and ML solutions.
• Develop algorithms and data pipelines for training and production with DevOps & MLOps.
• Customize Deep Learning and Gen AI models for various use cases.
• Research new AI algorithms and simulations for client projects.
• Work with large-scale datasets and data preprocessing.
• Maintain data storage and retrieval for models and knowledge.
• Justify model approaches to business problems.
• Collaborate with business and technical teams to deliver production results.

Conocimientos

ML engineering

Distributed computing

Cloud deployment

Python

C++

Communication skills

Consulting experience

Educación

Bachelor's degree

Herramientas

TensorFlow

PyTorch

Descripción del empleo

Accenture is seeking an AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients. You will work across data assessment, model customization (including Deep Learning, Gen AI, and LLMs), and scalable DevOps/MLOps pipelines for training and production.

You will collaborate with business and technical teams, work with large datasets, and ensure reliable, production-ready outcomes with measurable value for clients in a hybrid work environment.