Principle AI Platform Engineer

Principle AI Platform Engineer 
Barcelona

Company 
AstraZeneca is a global, innovation-driven biopharmaceutical business that focuses on the discovery, development and commercialization of 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 are made to feel valued, energized and rewarded for their ideas and creativity.

Role
The Enterprise AI Platforms and Operations Team are 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 it’s 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. 

Key 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.

Candidate Knowledge, Skills and 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.
•    Administering a production cluster, with an understanding of operators, storage classes and service meshes.
•    Experience building and delivering software using the Python programming language, exceptional ability in other programming languages will be considered.
•    Demonstratable experience deploying the underlying infrastructure and tooling for running Machine Learning or Data Science at Scale using Infrastructure of Code
•    Experience using DevOps to enable automation strategies
•    Experience or awareness of MLOps practices and building pipelines to accelerate and automate machine learning will be looked upon favorably
•    Experience working in a Agile team with knowledge or experience of working in product or platform-focused delivery.
•    Experience working with internal security standards and frameworks. Especially within a medical, clinical or pharmaceutical context.
•    Experience working with GxP compliant life science systems will be looked upon favorably
•    Creative, collaborative and resilient.

WHY JOIN IT?
We’re a network of entrepreneurial self-starters who contribute to something far bigger. There’s a diversity of expertise in our Technology group that’s unique to AstraZeneca – it allows us to dive deep into exploring new groundbreaking technology. We enable AstraZeneca to perform at its peak by delivering world-class technology and data solutions. Our work unlocks the potential of science. We optimise and evolutionise AstraZeneca by maximising efficiencies and finding new ways to drive productivity. From automation to data simplification. We’re not afraid to take ownership and run with it. Empowered with unrivalled freedom. A place to be open and transparent – we speak up, think creatively and share ideas. Our diverse contributions help us to make better decisions. But we have a constant drive to innovate, and an appreciation for high standards. It takes challenging the status quo to contribute in our ever-evolving environment. We love it here because put simply, we make a meaningful impact.
Technology at AstraZeneca is a home for purposeful disruptors!

Date Posted

Closing Date

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.