1 day ago
London, United KingdomSenior
Responsibilities
- Formulate real-world business problems into practical, efficient, and scalable AI/ML solutions.
- Develop and deploy machine learning algorithms, models, and computational systems for production environments.
- Build scalable data pipelines supporting model training and production with DevOps and MLOps practices.
- Customize deep learning and generative AI models for business use cases, including edge device and high-performance computing environments.
- Conduct research and development on 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, audit, and maintain production AI/ML systems, including alerting and automatic bug filing.
- Collaborate with business and technical stakeholders to integrate solutions into production and demonstrate business value.
Requirements
- Bachelor's degree or equivalent.
- 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 potentially big data, high-performance computing, engineering simulations, scientific computing, grid computing, cloud computing, and distributed networks.
- Experience building and deploying AI/ML-based software to a cloud environment.
- Proficiency in Python and Python-based AI/ML frameworks, with familiarity with frameworks such as TensorFlow and PyTorch.
- Experience working with language model APIs and optimizing their use for specific applications.
- Experience with Python, C++, Java, R, and SQL.
- Strong communication, client-facing consulting, and cross-functional collaboration skills.
- 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.