22 days ago
Brussels, BelgiumSenior
Responsibilities
- Formulate business problems into practical, scalable AI and machine learning solutions.
- Develop and deploy machine learning algorithms, models, computational systems, and scalable data pipelines for training and production.
- Customize deep learning and generative AI models, including large language models, for business use cases across cloud, edge, and high-performance computing environments.
- Research and develop AI, high-performance computing, algorithmic, modeling, and simulation solutions.
- Process large-scale datasets and implement data storage and retrieval mechanisms for models and knowledge.
- Monitor, alert, audit, and maintain production machine learning systems, including automatic bug filing.
- Collaborate with business, technical, client, engineering, architecture, and design stakeholders to integrate solutions into production.
- Justify the business value of model approaches and communicate complex technical concepts to non-technical stakeholders.
Requirements
- Bachelor's degree or equivalent experience is required.
- Proven experience as a machine learning engineer or scientist deploying models in production at scale, including monitoring, alerting, automatic bug filing, and auditing.
- Experience applying computer science foundations in computer architecture, systems engineering, and programming.
- Professional experience with distributed computing systems and architectures, including areas such as big data, high-performance computing, scientific computing, grid computing, cloud computing, or distributed networks.
- Experience building and deploying AI/ML-based software to a cloud environment.
- Proficiency in Python and Python-based AI/ML frameworks and familiarity with TensorFlow and PyTorch.
- Experience working with large language model APIs and optimizing their usage for specific applications.
- Experience with Python, C++, Java, R, and SQL.
- Strong written and verbal communication, cross-functional collaboration, client-facing consulting, and stakeholder-management skills.
- A master's or PhD in a related field such as computer science or engineering is preferred.
Categories
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.