• Job Description

  Req#: R-174089
  Principal AI Engineer

  Location - Barcelona (ESP)

  Competitive Salary + Benefits

  Make a more meaningful impact to patients’ lives around the globe

  Here you’ll have the opportunity to make a meaningful difference to patients’ lives. With science at its heart, this is the place where breakthroughs born in the lab become transformative medicines – for the world’s most complex diseases. Answer unmet medical needs by pioneering the next wave of science, focusing on outcomes and shaping the patient ecosystem.

  With our ground-breaking pipeline, the outlook is forward-thinking. Be proud to be part of a place that has achieved so much, yet is still moving forward. There’s no better time to join our global, growing enterprise as we lead the way for healthcare and society

  The Center for Artificial Intelligence (CAI) is a lab focused on applying machine learning research to the toughest challenges at AstraZeneca. We are a team of experts from different fields including Machine Intelligence, Data Science, Real World Evidence and Bioinformatics.

  We innovate together with our leading biologists, chemists, and clinicians to close the gap between today's challenges and the forefront of machine learning. If you want to have an impact on transforming patients' lives by accelerating new medicines to patients, this may be the position for you!

  As an AI Engineer you will and help deliver innovative AI research as elegant, enterprise-ready products. As an AI Engineer, 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 through devops, gitops, and mlops automation to accelerate project delivery and reduce costs and environmental impact.

  Key Accountabilities:

  • Take ownership of software engineering standards within the team and develop documentation and artifacts that make it simple to apply to new or existing projects.Advocate for the imple mentation of these standards throughout the enterprise through engagement with external teams

  • Develop efficient and scalable processes for distributed training of large ML models in both cloud and on-prem environments, working with internal infrastructure teams and external vendors and research institutes. Input creatively into these initiatives, exploring new concepts and techniques.

  • Take the initiative in crafting and implementing solutions to drive down costs and environmental impact by automating processes through devops, gitops, and mlops automation, reducing the need for human intervention. Educate people about how to use these solutions in thei r everyday work.

  • Work collaboratively with broad and diverse teams to deliver projects on time and to the highest standards. Take a leadership role in bringing projects up to the best software engineering standards.

  Essential Requirements

  • Demonstrable record of accomplishment of implementing software engineering processes for multiple use cases.

  • Demonstrable experience automating the entire machine learning model lifecycle.

  • Demonstrable experience optimizing distributed training of machine learning models.

  • Demonstrable advanced use of Kubernetes and implementation of machine learning tools in that context.

  • Demonstrable experience collaborating with teams that have different competences.

  • A doctorate qualification in a relevant area

  • Significant proven experience in a similar role

  Desirable Skills and Experience:

  • Experience working in a domain subject to regulatory oversight.

  • Experience working in a scientific research environment.

  • Understanding of the pharmaceutical industry and its processes.

  Why AstraZeneca?

  At AstraZeneca we’re dedicated to being an excellent Place to Work. Where you are empowered to push the boundaries of science and unleash your ambitious spirit. There’s no better place to make a difference to medicine, patients and society.

  An inclusive culture that champions diversity and collaboration, and always committed to lifelong learning, growth and development. We’re on an exciting journey to pioneer the future of healthcare.

  Why we love it

  If your passion is science and you want to join a team that makes a bigger impact on patients’ lives, then this is the right place to be. Here we truly understand science and apply it every day to strengthen and grow our pipeline.

  So, what’s next?

  • We encourage your application before the closing date 28th July.

  #DataAI

  #dsai

  #CAI

  Date Posted

  18-Sept-2023

  Closing Date

  28-Sept-2023

  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 authorization and employment eligibility verification requirements.

• About the company

  AstraZeneca PLC is a British-Swedish multinational pharmaceutical and biopharmaceutical company with its global headquarters in Cambridge, England.

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