
AI & ML Engineering Consultant
- London
- Permanent
- Full-time
- How to help clients to use AI/ML technologies to solve business challenges
- How to design, develop, deploy, and run high quality AI/ML solutions across a range of industries with varying business and organisational challenges
- The latest technology solutions from industry and academia and how to apply them to solve real world customer problems
- Design and build use-case and platform technology solutions to solve key business challenges using reference and cutting-edge technologies and engineering patterns
- Work in multi-disciplinary teams to build complex solutions working from inception through to production and operations
- Contribute to the technology strategy and solution design, managing and supporting other developers
- Contribute to the Accenture Data & AI community, sharing insights and experience of using emerging technologies on client deliveries and through research
- AI/ML platform technologies and services such as Sagemaker/Vertex/Azure ML, OpenAI, Langchain, AutoML, OCR, STT, feature stores, vector DB, ...
- Implementation of AI/ML architectural patterns and best practices e.g. data drift detection, experimentation tracking, RAG, deployment models
- Building and using cloud-based solutions (networking, security, storage, monitoring, scaling, DR/HA, ...) on one or more cloud platforms
- SW Engineering and DevSecOps
- Certified cloud Machine Learning (e.g., AWS Certified Machine Learning - Specialty).
- Building PoCs to aid learning
- Experience of delivering production AI/ML services for scaled end user consumption
New Scientist