1 day ago
Dublin, IrelandSenior
Responsibilities
- Formulate real-world business problems into practical, efficient, and scalable AI and machine learning solutions.
- Develop and deploy machine learning algorithms, models, computational systems, and AI/ML software in production at scale.
- Build scalable data pipelines and DevOps/MLOps processes for model training and production.
- Customize and apply deep learning, generative AI, and large language models for business use cases across cloud, edge, and high-performance computing environments.
- Research and develop AI and high-performance computing algorithms, models, simulations, and applications.
- Process large-scale datasets and implement data storage and retrieval mechanisms for models and knowledge.
- Monitor, alert, audit, and maintain deployed models while evaluating their reliability, quality, and business value.
- Collaborate with business and technical stakeholders, including engineers, architects, designers, users, and client teams, to integrate solutions into production.
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, computer system architecture, system engineering, and programming.
- Hands-on experience with distributed computing systems and architectures, including areas such as big data, high-performance computing, engineering simulations, 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 libraries such as TensorFlow and PyTorch.
- Experience with language-model APIs and optimizing their use for specific applications.
- Experience with Python, C++, Java, R, and SQL.
- Strong written and verbal communication skills, including the ability to explain complex technical concepts to non-technical stakeholders.
- Strong client-facing and cross-functional collaboration skills, preferably in a consulting environment.
- Master's or PhD in a related field such as computer science or engineering is preferred.
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.