Associate Principal AI Engineer

at  AstraZeneca

Join the Center for Artificial Intelligence (CAI) at AstraZeneca, a lab dedicated to applying machine learning research to the toughest challenges in the medical field. We are a diverse team of experts from various fields including Machine Intelligence, Data Science, Real World Evidence and Bioinformatics. As an Associate Principal AI Engineer, you will help deliver innovative AI research as elegant, enterprise-ready products. You will be responsible for developing efficient and scalable processes for the distributed training of large machine learning (ML) models, as well as automating our processes to accelerate project delivery and reduce costs and environmental impact. This role is based at our vibrant R&D site in Gothenburg, Sweden.

KEY ACCOUNTABILITIES

• Take ownership of some of the software engineering standards within the team, the documentation of these standards along with the development of artifacts that make it simple to apply to new or existing projects
• Develop efficient and scalable processes for the distributed training of large ML models in both cloud and on-prem environments. This will involve working with both internal infrastructure teams and external vendors and research institutes
• Accelerate project delivery, driving down cost and environmental impacts of the CAI by devops, gitops and mlops automation, thereby reducing the need for human intervention in our processes

ESSENTIAL REQUIREMENTS

• Demonstratable track record of implementing software engineering best practices for multiple use cases
• Demonstratable experience of automation of the entire ML model lifecycle
• Demonstratable experience with optimization of distributed training of ML models
• Demonstratable advanced use of Kubernetes and implementation of ML tools in that context
• Demonstratable experience partnering and/or collaborating with teams that have different competences

DESIRABLE SKILLS AND EXPERIENCE

• Relevant degrees, qualifications and certifications
• Experience working in a domain subject to regulatory oversight
• Experience working in scientific research environment
• Understanding of the pharmaceutical industry and its processes

Please refer the Job description for details