ppbSenior AI/ML Computational Scientist /b /p pbCareer Level: /bAssociate Manager / Manager /p h3YOU ARE /h3 pAs 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. /p h3THE WORK /h3 ul lipFormulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions /p /li lipDevelop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps MLOps /p /li lipCustomize 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 /p /li lipEngage 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 /p /li lipWork with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production /p /li lipImplement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools /p /li lipJustify the value of model approaches in business problems /p /li lipCollaborate 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 /p /li /ul h3EDUCATION /h3 ul lipBachelor's Degree or equivalent /p /li /ul h3BASIC (REQUIRED) QUALIFICATION /h3 ul lipSignificant experience as a machine learning engineer or scientist, deploying models in production at scale , including monitoring, alerting, automatic bug filing and auditing. /p /li /ul ul lipExtensive experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming /p /li /ul ul lipWell 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 /p /li /ul ul lipEstablished experience in building and deploying AI/ML based software to a cloud environment. /p /li /ul h3PREFERRED QUALIFICATION /h3 ul lipProficiency in Python and python -based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch).. /p /li /ul ul lipExperience working with language models like LLM's APIs and optimizing their usage for specific applications. /p /li /ul ul lipExperience with the following programming languages: Python, C++, Java, R,



SQL /p /li /ul ul lipStrong written verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders /p /li /ul ul lipStrong client-facing skillsets in a consulting environment /p /li /ul ul lipStrong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams /p /li /ul ul lipEntrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation /p /li /ul ul lipMS or PhD in related field preferred (computer science, engineering, etc.) /p /li /ul pAt 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. /p pIn addition, we offer: /p ul lipPrivate medical, life, and accident insurance /p /li lipMedical services and wellbeing programs /p /li lipFlexible benefits program and employee share purchase plan /p /li lipFlexible working arrangements (working hours, additional leave days, vacation options, and more) /p /li lipPersonalized learning and career development paths /p /li lipSustainability initiatives and opportunities to participate in the Accenture Foundation /p /li lipEmployee diversity and inclusion networks /p /li lipAdditional benefits, including special banking conditions through our Bankinter office and profit-sharing programs /p /li /ul /p #J-18808-Ljbffr

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