23 hours ago
Riyadh, Saudi ArabiaSenior
Responsibilities
- Translate real-world business problems into practical, efficient, and 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 for business use cases across cloud, edge-device, and high-performance computing environments.
- Research and develop AI, high-performance computing, simulation, and scientific-computing algorithms and applications.
- Process large-scale datasets and implement data storage and retrieval mechanisms for models and knowledge.
- Operationalize production models with monitoring, alerting, automatic bug filing, auditing, and reliability controls.
- Collaborate with business, engineering, architecture, user, and design stakeholders to integrate solutions into production and justify their business value.
Requirements
- Bachelor's degree or equivalent experience is required.
- Proven experience as a machine learning engineer or scientist deploying models in production at scale is required.
- Experience applying computer science foundations, computer architecture, systems engineering, and programming is required.
- Hands-on experience with distributed computing systems and architectures, including potential big data, high-performance computing, scientific computing, grid, cloud, and distributed-network environments is required.
- Experience building and deploying AI/ML software to a cloud environment is required.
- Proficiency in Python and Python-based AI/ML frameworks is preferred, including familiarity with TensorFlow and PyTorch.
- Experience with language model APIs and optimizing their use for specific applications is preferred.
- Experience with Python, C++, Java, R, and SQL is preferred.
- Strong communication, client-facing consulting, cross-functional collaboration, and ability to explain technical concepts to nontechnical stakeholders are preferred.
- An MS or PhD in computer science, engineering, or a related field 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.