AI Engineer

Do you have expertise in, and passion for AI? Would you like to apply your AI modelling expertise in a company that follows the science and turns ideas into life changing medicines? Then AstraZeneca might be the place for you! 

As an AI Engineer, you will contribute to the development and implementation of AI solutions across a variety of domains. Your work will involve designing and building AI systems that process and analyse diverse types of data, from structured datasets, to text, multimedia content. You'll engage in enhancing machine learning pipelines and explore different AI technologies and methodologies whilst deployed as a team member on portfolio use cases within Enterprise AI Services.

Accountabilities:

Machine Learning

• Assist in designing and implementing machine learning models for various applications.
• Support tasks involved in building and maintaining machine learning pipelines.
• Help improve model performance using techniques such as optimisation and efficiency enhancements.
• Participate in data and model validation and ensure high data quality standards.

Software Engineering

• Contribute to the development of reusable software components and APIs for AI solutions.
• Assist in constructing scalable systems for data management and processing.
• Participate in writing clean, maintainable, and well-documented code to support AI projects.

Cloud & Infrastructure

• Learn and assist in setting up cloud-based architectures for AI model deployment.
• Support the development of automated processes for the continuous integration and deployment of AI models.
• Contribute to optimising AI systems for performance, cost, and scalability.
• Assist in containerisation using tools like Docker and Kubernetes and help set up monitoring for deployed systems.

Specialist Areas

• Explore different AI technologies, such as computer vision, natural language processing, and predictive analytics.
• Engage in learning activities and projects that enhance your understanding of specialised AI applications.
• Support the integration of AI technologies into broader business solutions.

Required Skills

Machine Learning

• Strong expertise in either optimisation, predictive modelling, computer vision or natural language processing
• Experience with ML frameworks (PyTorch, TensorFlow)
• Understanding of transformer architectures and attention mechanisms
• Knowledge of model optimisation and compression techniques

Software Engineering

• Degree in Computer Science, ML, or related field
• Proficiency in Python and software engineering best practices
• Strong understanding of data structures and algorithms
• Knowledge of API design and development

Cloud & Infrastructure

• Experience with major cloud platforms (AWS, Azure, GCP)
• Understanding of containerisation and orchestration (Docker, Kubernetes)
• Knowledge of MLOps tools and practices
• Experience with CI/CD pipelines and automation
• Understanding of scalability and reliability patterns

Desirable Qualifications

Machine Learning

• Experience with foundation models (CLIP, Stable Diffusion, SAM)
• Knowledge of ML monitoring and observability
• Experience with real-time inference optimisation

Software Engineering

• Contributions to open-source ML projects or libraries
• Knowledge of software design patterns

Cloud & Infrastructure

• Experience with ML deployment platforms (KubeFlow, MLflow)
• Knowledge of serverless architecture patterns
• Experience with infrastructure-as-code (Terraform, CloudFormation)

Why AstraZeneca?

At AstraZeneca, we follow the science to explore and innovate. We are working towards treating, preventing, modifying and even curing some of the world's most complex diseases. We are committed to making a difference by fusing data and technology with the latest scientific innovations to achieve the next wave of breakthroughs. We are driven by our shared belief in What Science Can Do. A belief in its potential to redefine what's possible. We are always listening and learning from people who live with the diseases our medicines treat. It enables us to better understand their needs and, ultimately, diagnose and design the right treatments to impact patients' lives.

What’s next?

If you're ready to embark on this exciting journey, please submit your application by April 27th at the latest.  Applications will be screened on a continues basis.

Additional information

Our Gothenburg site: https://www.astrazeneca.com/our-science/gothenburg.html
Life in Gothenburg: https://www.movetogothenburg.com/
Make a move to Global Gothenburg: https://www.youtube.com/watch?v=c-Iqbb4aw38

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorisation and employment eligibility verification requirements.