Start Date
Immediate
Expiry Date
19 Dec, 24
Salary
0.0
Posted On
23 Sep, 24
Experience
0 year(s) or above
Remote Job
No
Telecommute
No
Sponsor Visa
No
Skills
Web Services
Industry
Computer Software/Engineering
Are you passionate about Machine Learning and AI? Do you have the expertise to lead and inspire a high-performing enterprise AI team?
AstraZeneca is looking for an experienced AI Team Lead to join our dynamic team focused on using advanced technologies to solve high-impact strategic challenges in support of AstraZeneca’s 2030 ambitions. If you are ready to make a real difference and drive innovation in a company committed to turning ideas into life-changing medicines, this might be the perfect opportunity for you.
KEY ACCOUNTABILITIES:
ESSENTIAL SKILLS/EXPERIENCE:
The ideal candidate will have a background as a senior AI engineer or data scientist and have significant experience in structuring and leading agile AI products and services. We see that you have experience leading the planning and execution of complex AI products within high performing engineering teams. This experience will be called on to coach other AI teams on product lifecycle development and used to streamline delivery patterns and ways of working on a portfolio of complex AI deliverables. The candidate will be expected to identify and translate customer demand into detailed and actionable software briefs and help to articulate customer benefits when securing their sponsorship and support. Experience developing AI in a regulatory or compliance setting is desirable with an appreciation for the documentation and diligence required to deliver ethical AI responsibly. Experience of developing and running machine learning models using cloud platforms, building APIs and familiarity with the challenges of deploying web services for different audiences will also be key.
As an AI Team Lead, you will be responsible for leading and inspiring a team of AI Engineers in Gothenburg, developing state-of-the-art reusable AI services and assets. You will join the Enterprise Reusable AI Services leadership team, providing deep technological leadership to engineers and stakeholders alike. This role will involve a high degree of collaboration to ensure that ML/AI products and pipelines can be leveraged by other engineering teams and problems tackled collectively across the group.
Reusable AI Services focuses on solving optimisation, language, timeseries and multi-modal problems at scale, engineering solutions that promote reuse and respond to high-impact business challenges. You will be responsible for realising delivery excellence best practices across Reusable AI Services and influencing internal and external stakeholders with the goal of delivering state-of-the-art and adopted AI services in partnership with your peers.