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 Dev Ops & 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

Required Skills 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., Tensor Flow, PyTorch)..

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

Experience working with agentic frameworks, such as Lang Chain, Lang Graph or CrewAI

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

Experience designing, deploying,



and operating cloud-native solutions on AWS, Azure, or GCP, including microservices-based and serverless architectures.
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
Adaptable 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

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📌 Senior AI/ML Computational Scientist (Barcelona)
🏢 Accenture España
📍 Barcelona