ph3YOU ARE /h3pAs 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 MLOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems. /ph3YOU ARE /h3pAs 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 MLOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems. /ph3THE WORK /h3ulliFormulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions /liliDevelop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps MLOps /liliCustomize 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 /liliEngage 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 /liliWork with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production /liliImplement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools /liliJustify the value of model approaches in business problems /liliCollaborate 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 /li /ulh3EDUCATION /h3ulliBachelor's Degree or equivalent /li /ulh3Basic (required) Qualification /h3ulliProven experience as a machine learning engineer or scientist, deploying models in production at scale , including monitoring, alerting, automatic bug filing and auditing. /liliExperience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming /liliHands-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 /liliExperience in building and deploying AI/ML based software to a cloud environment. /li /ulh3Preferred Qualification /h3ulliProficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow,



PyTorch).. /liliExperience working with language models like LLM's APIs and optimizing their usage for specific applications. /liliExperience with the following programming languages: Python, C++, Java, R, SQL /liliStrong written verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders /liliStrong client-facing skillsets in a consulting environment /liliStrong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams /liliEntrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation /liliMS or PhD in related field preferred (computer science, engineering, etc.) /li /ulpAt Accenture, recognized as a bGreat Place To Work® /b, 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. /ppIn addition, we offer: /pulliPrivate medical, life, and accident insurance. /liliMedical services and wellbeing programs. /liliFlexible benefits program and employee share purchase plan. /liliFlexible working arrangements (working hours, additional leave days, vacation options, and more). /liliPersonalized learning and career development paths. /liliSustainability initiatives and opportunities to participate in the Accenture Foundation. /liliEmployee diversity and inclusion networks. /liliAdditional benefits, including special banking conditions through our Bankinter office and profit-sharing programs /li /ul /p #J-18808-Ljbffr

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