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AI Solutions Architect

2 months ago

London, Greater London, United Kingdom Computer Futures Full time
About the Role

We are seeking an experienced AI Solutions Architect to join our team at Computer Futures. As an AI Solutions Architect, you will be responsible for designing, implementing, and maintaining AI solutions within our organisation.

Key Responsibilities
  • Design and develop AI models and solutions using Azure Open AI, Azure Machine Learning, and Azure Cognitive Services to address specific business challenges.
  • Implement and maintain scalable and efficient AI systems, ensuring they meet business requirements and performance benchmarks.
  • Collaborate with business analysts, data scientists, and IT teams to integrate AI solutions into existing systems and workflows, enhancing their capabilities and impact.
  • Stay abreast of advancements in AI, machine learning, and Azure services, incorporating new technologies and methodologies to continually improve solution offerings.
  • Provide expertise and guidance on AI best practices, contributing to the organization's AI strategy and innovation efforts.
  • Conduct data analysis and feature engineering to prepare data for use in AI models, utilizing Azure Data Lake and other data storage solutions.
  • Develop robust testing and validation processes to ensure the accuracy and reliability of AI models and solutions.
  • Align all operations procedures to service expectations, security requirements, and other quality standards.
  • Oversee the planning, installation, maintenance, and acceptance of new and updated components and services.
Requirements
  • Strong programming skills: proficiency in programming languages such as Python, C#, or Java, with a deep understanding of software development principles.
  • Extensive experience with Azure AI solutions, including Azure Open AI Service, Azure Cognitive Services, and Azure Machine Learning.
  • Solid background in machine learning algorithms, data pre-processing, feature engineering, and model evaluation.
  • Proficiency in handling large datasets, experience with Azure Data Factory, Azure SQL Database, and Cosmos DB.
  • Understanding of CI/CD pipelines, containerization (Docker, Kubernetes), and experience implementing MLOps practices using Azure DevOps.
  • Deep understanding of Azure Cloud services relevant to AI, such as Azure Kubernetes Service (AKS), Azure GPU VMs, and Azure networking and security services tailored for AI applications.