AI Lead

AI Lead

Introduction to Role:

Join our Data, Analytics & Artificial Intelligence (DA&AI) group at Enabling Units IT (EUIT), where we deliver digital and technology solutions to multiple business areas. As the AI Lead, you will be responsible for driving AI initiatives, fostering innovation, and leading a multi-functional team of AI Scientists and AI Engineers. You will play a key role in shaping our AI strategy, developing pioneering AI solutions, ensuring successful project delivery, and implementing standard methodologies in MLOps.

Accountabilities:

As the AI Lead, you will provide strategic direction and leadership to a team of AI Scientists and AI Engineers. You will collaborate with senior leadership to define and implement the AI strategy, finding opportunities for AI adoption and driving business impact. You will lead the end-to-end delivery of AI projects, from ideation to deployment. You will maintain a deep understanding of AI and machine learning technologies, MLOps tools, and stay updated on industry trends. You will champion the implementation of MLOps standard methodologies, including model versioning, automated deployment, monitoring, and continuous integration/continuous deployment (CI/CD) pipelines.

Essential Skills/Experience:

- Masters or PhD Degree (or equivalent numbers of years of experience) in mathematics, computer science, engineering, physics, statistics, computational sciences or a related field.- Proven experience in AI and machine learning, including deep learning, natural language processing, computer vision, and reinforcement learning.- Strong leadership and project management skills, with a track record of leading successful AI projects and teams.- Advanced skills in programming languages such as Python, and experience with AI libraries and frameworks (e.g., TensorFlow, PyTorch).- Strong knowledge of software development principles- Excellent communication and presentation skills, with the ability to convey complex AI concepts to non-technical partners.- Knowledge of AI ethics and responsible AI practices.

- Proven track record of publishing relevant OR or predictive modelling results and tools in peer-reviewed journals, conferences, and other scientific proceedings.- Experience in life sciences and healthcare.- Experience in a complex global organization.

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

At AstraZeneca, we connect across the whole business to power each function to better influence patient outcomes and improve their lives. We are dedicated to combining the science with our knowledge, to deliver greater value for patients every day. We take data seriously. Driven by the impact we know we can have; our high ethical standards never slip. This is the place where innovation meets large-scale impact. We are often seen breaking new ground, but without ever compromising on doing things the right way. We impact patients lives. Empowering and enabling the business to run faster and better, we play a part in improving lives across the world.

Ready to join a diverse team of inclusive self-starters? Apply now to be part of our journey towards becoming a digital and data-led enterprise!

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.