Principal Ai Engineer

**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

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**:

- 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 their 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 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**:
**So, what’s next?**

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**#dsai**:
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