AI Solutions Engineer

4 days ago

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

We are seeking a highly skilled AI Solutions Engineer to join our team at Computer Futures. As an AI Solutions Engineer, you will be responsible for designing, implementing, and maintaining AI solutions within our organization.

Key Responsibilities
  • Design and Develop AI Models: Utilize Azure Open AI, Azure Machine Learning, and Azure Cognitive Services to address specific business challenges.
  • Implement and Maintain AI Systems: Ensure AI systems are scalable, efficient, and meet business requirements and performance benchmarks.
  • Collaborate with Cross-Functional Teams: Integrate AI solutions into existing systems and workflows, enhancing their capabilities and impact.
  • Stay Up-to-Date with AI Advancements: Incorporate new technologies and methodologies to continually improve solution offerings.
  • Provide Expertise and Guidance: Contribute to the organization's AI strategy and innovation efforts.
  • Data Analysis and Feature Engineering: Prepare data for use in AI models, utilizing Azure Data Lake and other data storage solutions.
  • Testing and Validation: Ensure the accuracy and reliability of AI models and solutions.
  • Operational Issue Resolution: Identify, record, monitor, and resolve operational issues.
  • Security and Compliance: Align operations procedures to service expectations, security requirements, and quality standards.
  • Component and Service Management: 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 Azure AI Experience: Familiarity with Azure Open AI Service, Azure Cognitive Services, and Azure Machine Learning.
  • Machine Learning Background: Solid understanding of machine learning algorithms, data pre-processing, feature engineering, and model evaluation.
  • Large Dataset Handling: Proficiency in handling large datasets, experience with Azure Data Factory, Azure SQL Database, and Cosmos DB.
  • CI/CD Pipelines and Containerization: Understanding of CI/CD pipelines, containerization (Docker, Kubernetes), and experience implementing MLOps practices using Azure DevOps.
  • Strong Analytical and Problem-Solving Abilities: Capability to work on complex issues and drive innovative solutions.
  • Azure Cloud Services: 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.

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