Senior AI/ML Computational Scientist

Accenture; Bellprat; Híbrido; EUR 90.000 - 130.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Private medical, life, and accident保险

Flexible benefits program

Personalized learning and career dev

Sustainability initiatives

Diversity and inclusion networks

Descripción de la vacante

Accenture in Spain seeks a Senior AI/ML Computational Scientist to design, build and operationalize enterprise AI/ML solutions, spanning model selection, data pipelines, and MLOps for production systems.

You will apply deep learning, GenAI, and Large Language Models to real business problems, work with large datasets, and collaborate with multidisciplinary teams to deliver scalable and value-driven outcomes.

Formación

• Significant experience deploying ML models in production at scale with monitoring and auditing.
• Strong foundations in computer science, systems engineering, and programming.
• Experience with distributed computing systems and HPC, cloud and big data.
• Experience building and deploying AI/ML software to a cloud environment.

Responsabilidades

• Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions.
• Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps & MLOps.
• Customize and apply Deep Learning and Gen AI models for various use cases based on business needs, data availability, system and infrastructure requirements - including edge device and HPC.
• Engage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites
• Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production
• Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools
• Justify the value of model approaches in business problems
• Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into production

Conocimientos

Machine learning

Distributed computing

MLOps

Deep Learning

Gen AI

Large Language Models

Python

C++

Java

R

SQL

Communication skills

Client-facing

Entrepreneurial mindset

Educación

Bachelor's Degree or equivalent

Herramientas

TensorFlow

PyTorch

Descripción del empleo

Senior AI/ML Computational Scientist

Career Level: Associate Manager / Manager

YOU ARE

As a senior AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third‑party AI services to deliver production‑ready outcomes. Your role spans the full solution lifecycle — assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and MLOps/LLMOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems.

THE WORK

• Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions

• Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps & MLOps

• Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including edge device and HPC

• Engage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites

• Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production

• Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools

• Justify the value of model approaches in business problems

• Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into production

EDUCATION

• Bachelor's Degree or equivalent

BASIC (REQUIRED) QUALIFICATION

• Significant experience as a machine learning engineer or scientist, deploying models in production at scale , including monitoring, alerting, automatic bug filing and auditing.

• Extensive experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming

• Well versed in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks

• Established experience in building and deploying AI/ML based software to a cloud environment.

PREFERRED QUALIFICATION

• Proficiency in Python and python -based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch)..

• Experience working with language models like LLM's APIs and optimizing their usage for specific applications.

• Experience with the following programming languages: Python, C++, Java, R, SQL

• Strong written & verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders

• Strong client-facing skillsets in a consulting environment

• Strong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams

• Entrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation

• MS or PhD in related field preferred (computer science, engineering, etc.)

At Accenture, recognized as a Great Place To Work®, we are committed to a hybrid work model that, supported by technology and our office spaces, enables us to maintain the essential human connection needed to collaborate effectively with our teams and clients. This connection helps us foster our culture of inclusion and diversity and has contributed to being recognized by Refinitiv as one of the world's most diverse companies.

In addition, we offer:

• Private medical, life, and accident insurance

• Medical services and wellbeing programs

• Flexible benefits program and employee share purchase plan

• Flexible working arrangements (working hours, additional leave days, vacation options, and more)

• Personalized learning and career development paths

• Sustainability initiatives and opportunities to participate in the Accenture Foundation

• Employee diversity and inclusion networks

• Additional benefits, including special banking conditions through our Bankinter office and profit-sharing programs