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- 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.
- Ensure that operational issues are identified, recorded, monitored and resolved. Conducts investigations of significant operational outage and provides recommendations for problem mitigation. Provides appropriate status and other reports to specialists, users and managers.
- Align all operations procedures to service expectations, security requirements and other quality standards. Ensures that operational procedures and documentation are fit for purpose and kept up to date.
- Oversee the planning, installation, maintenance and acceptance of new and updated components and services. Defines security procedures to be followed, and delegates tasks at the appropriate level.
- 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. Familiarity with Azure Databricks is a plus.
- Solid background in machine learning algorithms, data pre-processing, feature engineering, and model evaluation. Experience with deep learning frameworks like TensorFlow or PyTorch is desirable.
- 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.
- Strong analytical and problem-solving abilities, with the capability to work on complex issues and drive innovative solutions.
- 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.
Artificial Intelligence Engineer - London, United Kingdom - Computer Futures
Description
Artificial Intelligence Engineer
If you are interested in applying for this job, please make sure you meet the following requirements as listed below.Permanent
About the job
As an AI Engineer specialising in Azure Services, you will be responsible for designing, implementing, and maintaining AI solutions within our organisation. Leveraging the Azure platform, including Azure Open AI, Azure Vision and other Azure AI services, you will develop scalable, efficient, and effective AI models and systems to address business challenges, enhance decision-making, and drive innovation. Collaboration with cross-functional teams to integrate AI capabilities into our products and services will be a key part of your role.
What are the day-to-day tasks?
What skills and knowledge are we looking for?