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 MLOps 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 - Bachelors Degree or equivalent BASIC (REQUIRED) QUALIFICATION - Proven experience as a machine learning engineer or scientist deploying models in production at scale 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 - 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 LLMs 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 worlds 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 worlds 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 791000 people serving clients in more than 120 countries. Technology is at the core of change today and we are one of the worlds 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.