Job Title : Lead Consultant – Enterprise AI Platforms
Career Level – E
Company
AstraZeneca is a global, innovation-driven biopharmaceutical business that focuses on discovering, developing, and commercialising prescription medicines for some of the world's most serious diseases. But we're more than one of the world's leading pharmaceutical companies. At AstraZeneca, we're proud to have a unique workplace culture that inspires innovation and collaboration. Here, employees are empowered to express diverse perspectives and feel valued, energized and rewarded for their ideas and creativity.
Role
We are seeking a Senior AI Platform Engineer to join our Enterprise AI platform team at AstraZeneca. The ideal candidate will have excellent experience working with Kubernetes and KubeFlow, where they devised and deployed large-scale production infrastructure and platforms for scientific use cases (we will acknowledge expertise with other industries). The position will involve applying these skills to some of the most exciting machine-learning problems in drug discovery.
The successful candidate will be part of a new, collaborative team of multidisciplinary engineers and have the chance to create tools that will advance the standard of healthcare, improving the lives of millions of patients across the globe. Our data science environments will support major AI initiatives such as clinical trial data analysis, knowledge graphs, patient safety systems, deep learning-led drug discovery, and software as a medical device for our therapy areas. You will also have a responsibility to help provide the frameworks for data scientists to develop scalable machine learning and predictive models with our growing data science community in a safe and robust manner.
As a strong software developer with an interest in building complex systems, you will be responsible for inventing how we use technology, machine learning, and data to enable AstraZeneca's productivity. You will help design, build, deploy, and develop our next generation of data engines and tools at scale. You will bridge the gap between science and engineering and function with deep expertise in both worlds.
You will have the opportunity to learn many cutting-edge technologies around Machine Learning Platforms. You will push the boundaries to test, develop and implement new ideas, technology and opportunities.
Key Accountabilities
Requirements
Other Desirable Skills
Bachelors
Any Bachelors Degree
Kubernetes clusters,Kubernetes ML platforms and toolkits (Kubeflow),Linux/Shell scripting,,DevOps,
IT-Software- Software services