Senior AI/ML Computational Scientist

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  #LI-MP 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., TensorFlow,   PyTorch )..   Experience working with language models like LLM's APIs and   optimizing   their usage for specific applications.   Experience working with agentic frameworks, such as LangChain, LangGraph 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 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.ac