AI Engineer

SThree is delighted to announce that we are currently accepting applications for an experienced AI Engineer. This position presents an excellent opportunity to join 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 OpenAI, 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 key.

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.

What are the day-to-day tasks?

• Design and develop AI models and solutions using Azure OpenAI, 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, scientists, and IT teams to integrate AI solutions into existing systems and work flows
• 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 organisation's AI strategy and innovation efforts.
• Conduct data analysis and feature engineering to prepare data for use in AI models, utilising Azure Data Lake
• Develop robust testing and validation processes to ensure the accuracy and reliability of AI models.
• 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 are fit for purpose and updated.
• Oversee the planning, installation, maintenance and acceptance of new and updated components and services. Defines security procedures to be followed, and delegates tasks

What skills and knowledge are we looking for?

• Programming Skills: Proficiency in programming languages such as Python, C#, or Java, with a deep understanding of software development principles.
• Experience with Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks desirable
• Solid background in machine learning algorithms, data preprocessing, 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, containerisation (Docker, Kubernetes), implementing MLOps practices using Azure DevOps.
• 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:

• Degree in computer science/software engineering and/or 5+ years equivalent work experience within a cloud environment.
• Cloud Certifications desirable
• Qualifications such as the following would be advantageous, however not necessary:
  • Microsoft Azure AI Engineer Fundamentals / Associate
  • Microsoft Azure Data Engineer
  • Microsoft Data Scientist Associate

Benefits for our U.K. teams include:

• Choice to work flexibly from home and the office, in line with our hybrid working principles
• Bonus linked to company and personal performance
• Generous 28 days holiday, 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.

What we stand for..

We create community and deliver change that transforms the future for everyone. With this in mind, 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.