Ai Platform Engineer

hace 6 días

Barcelona, España Astrazeneca A tiempo completo

.The Enterprise AI Platforms and Operations Team is responsible for building and running the platforms, tooling, and infrastructure that powers AstraZeneca's ambition to use AI in every step of the value chain, from discovering new compounds to patient safety systems. We achieve this through a combination of technical leadership and agile-focused development, continuously evaluating the fast-moving advancements in Machine Learning tooling for challenges across AstraZeneca's R&D, Commercial, and Operations domains. We deliver these tools through easy-to-access environments that allow AstraZeneca's Data Scientists and Machine Learning Engineers to focus on building groundbreaking solutions for patients at scale.We are looking for an AI Platform Engineer to join our Enterprise AI Platforms and Operations Team. The ideal candidate will have industry-relevant experience delivering at scale Machine Learning or Data Science in the AWS cloud ecosystem or its competitors. You will be part of a collaborative team of multidisciplinary engineers and together 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 platforms will support major AI initiatives such as clinical trial data analysis, knowledge graph analytics, patient safety systems, deep learning-led drug discovery, and software as a medical device systems.As an AI Platform Engineer with an interest in building complex systems, you will be responsible for inventing how we use technology, machine learning, and data to enable the productivity of AstraZeneca. You will help build, deploy, and develop our next generation of platforms and tools at scale.Accountabilities- Collaborate with Data Scientists and Machine Learning Engineers from across the company to understand their challenges and work with them to build the platform that underpins their research.- Be a part of a hard-working agile team, continuously improving AstraZeneca's Machine Learning development environments, platforms, and tooling.- Work closely and collaboratively with internal governance and compliance functions such as Cyber Security and Data Privacy to secure our estate without obstructing end-user productivity.- Adapt standard machine learning methods to best exploit modern parallel environments (e.G., distributed clusters, multicore SMP, and GPU).- Champion a "production first attitude" to ensure the necessary infrastructure and platforms are available to scale exploratory research to production.Essential Skills/Experience- Bsc/MSc/Ph.D degree in Computer Science or related quantitative or analytical field. Experience as a founder, entrepreneur or experienced consultant will be looked at equally.- Demonstratable experience working with AWS or a similar cloud environment- Experience working with Kubernetes and/or container-based application deployments

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