AI Engineer

1 month ago

Glasgow, United Kingdom SThree Full time

SThree is delighted to announce that we are currently accepting applications for an experienced AI Engineer. This position presents an excellent opportunity to join our team in a senior capacity, working with a global audience of stakeholders. Additionally, it offers the potential for growth within an international company.

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.

About us

SThree is the global STEM-specialist talent partner that connects sought-after specialists in life sciences, technology, engineering and mathematics with innovative organisations across the world. We are the number one destination for talent in the best STEM markets: Recruiting highly skilled professionals and discovering life-changing jobs for the unsung heroes who will positively shape our future. Elevating expertise and energising progress for everyone.

Operating through a global house of specialist recruitment brands we know how to achieve the goals of STEM professionals seeking both permanent and contract work and understand the organisations who need them. The world is changing. And the people who change the world work with us.

What are the day-to-day tasks?

  • 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.

What skills and knowledge are we looking for?

  • 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.

Qualifications:

  • University degree in computer science or software engineering and/or 5+ years equivalent work experience within a cloud environment.
  • Qualifications such as the following would be advantageous, however not necessary:
  • Microsoft Data Scientist Associate

Benefits for our U.K. teams include:

  • The choice to work flexibly from home and the office, in line with our hybrid working principles (one anchor day per week)
  • Bonus linked to company and personal performance
  • Generous 28 days holiday allowance, plus public holidays
  • Annual leave purchase scheme
  • Five days paid Caregiver/Dependant leave per annum
  • Five paid days off per year for volunteering `
  • Private healthcare, discounted dental insurance and health care cashback scheme
  • Opportunity to participate in the company share scheme
  • Access to a range of retail discounts and saving

What we stand for...

We’re committed to ensuring for our colleagues, candidates and communities, that all processes are equitable, and everyone is treated with fairness and dignity where everyone belongs, is valued and is connected. If you need any assistance or reasonable adjustments in submitting your application, please let us know, and we’ll be happy to help.

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