AI/ML Computational Scientist

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

Ventajas ofrecidas por este puesto de trabajo

Private medical insurance

Life insurance

Flexible working arrangements

Learning and career development

Descripción de la vacante

Accenture is seeking an AI/ML Computational Scientist to design, build, and operationalize AI and ML solutions for enterprise clients. You will tailor models, create scalable data and DevOps/MLOps pipelines, and ensure production readiness across cloud and edge environments.

Responsibilities include problem framing, model development, R&D of new AI methods, and collaboration with cross-functional teams to deliver end-to-end solutions. A Bachelor’s degree is required.

Formación

• Proven experience as a machine learning engineer or scientist deploying models in production at scale.
• Experience in distributed computing systems, big data, HPC, and cloud environments.
• Experience building and deploying AI/ML software to a cloud environment.
• Proficiency in Python and Python-based AI/ML frameworks.
• Experience with language models APIs and optimizing their usage for applications.
• Programming languages: Python, C++, Java, R, SQL.
• Strong written and verbal communication and client-facing skills.
• MS or PhD in related field preferred.

Responsabilidades

• Formulate real-world problems into scalable AI/ML solutions.
• Develop and implement ML algorithms and scalable data pipelines for training and production with DevOps & MLOps.
• Customize Deep Learning and Gen AI models based on business needs, including edge devices and HPC.
• Engage in R&D of new AI algorithms, models, and simulations for client applications.
• Work with large-scale datasets and preprocessing for high-quality training inputs.
• Justify the value of model approaches in business problems.
• Collaborate with business and technical teams to achieve end-to-end project goals.

Conocimientos

Python

Distributed computing

Cloud computing

DevOps

MLOps

Communication

Client-facing

Educación

Bachelor’s Degree or equivalent

Herramientas

TensorFlow

PyTorch

LLM APIs

C++

Java

R

SQL

Descripción del empleo

YOU ARE

As an 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 DevOps &MLOpspipelines 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 Learningand Gen AI models for various use cases based on the business needs, data availability,systemand 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 andutilizedata preprocessing techniques to ensure high-quality input for training and production
• Implement andmaintainefficient data storage and retrieval mechanisms for models and knowledge usingappropriate 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

• Proven experience as a machine learning engineer or scientist, deploying models in production atscale ,including monitoring, alerting, automatic bug filing and auditing.
• Experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming
• Hands-on experience in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks
• Experience in building and deploying AI/ML based software to a cloud environment.

PREFERRED QUALIFICATION

• Proficiencyin Python andpython-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow,PyTorch)..
• Experience working with language models like LLM’s APIs andoptimizingtheir 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

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com

Declaración de igualdad de oportunidades en el empleo

Creemos que nadie debe ser discriminado por sus diferencias. Todas las decisiones de empleo se tomarán sin importar la edad, raza, credo, color, religión, sexo, origen nacional, ascendencia, discapacidad, condición de veterano militar, orientación sexual, identidad o expresión de género, información genética, estado civil, ciudadanía ni ningún otro criterio protegido por la legislación aplicable. Nuestra rica diversidad nos hace más innovadores, competitivos y creativos, lo que nos ayuda a servir mejor a nuestros clientes y comunidades.