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Engineer - AI Support Engineer (Dataiku)

Location Chennai, Tamil Nadu, India Job ID R-141310 Date posted 22/06/2022



Leverage technology to impact patients and ultimately save lives

Do you have expertise in, and passion for, information technology? Would you like to apply your expertise to impact the IT strategy in a company that follows the science and turns ideas into life changing medicines? If so, AstraZeneca might be the one for you!


AstraZeneca is a global, science-led, patient-focused biopharmaceutical company that focuses on the discovery, development and commercialisation of prescription medicines for some of the world’s most serious disease. But we’re more than one of the world’s leading pharmaceutical companies. At AstraZeneca we’re dedicated to being a Great Place to Work.


The AI Support Team is responsible for supporting the level 1 and 2 post-production activities in the Enterprise AI team. As an AI support engineer, you will be the first respondent for any issues/requests raised post-production by users of the AI enterprises services.

The Enterprise AI team aims to fulfill AstraZeneca’s ambition to use AI in every step of the value chain, from discovering new compounds to patient safety systems. The enterprise AI team consists of 3 verticals, Connected Intelligence, Reusable AI and AI Platforms in addition to AI Support. The verticals deliver the AI app store, AI models and ready to use platforms to data scientists across AZ. The AI support team will attend to the post-production activities of the 3 verticals.

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 are looking for an AI Support Engineer to join our AI Support Team. The ideal candidate will have industry-relevant experience delivering at scale Machine Learning or Data Science in the AWS cloud ecosystem.

You will be part of a collaborative team of multidisciplinary engineers and together have the chance to work on 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, software as a medical device system.

Key Accountabilities

  • Collaborate with Data Scientists and Machine Learning Engineers from across the company to understand their challenges. You will need to work with them to triage and resolve issues ranging from developmental to production.

  • Be a part of a high performing agile team, continuously improving AstraZeneca’s AI support offering and tooling

  • Work closely and collaboratively with internal governance and compliance functions such as Cyber Security and Data Privacy to establish and work within security guardrails without obstructing end-user productivity.

  • Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU), with the objective of guiding ML engineers during their use of AI platforms.

  • Champion a “production first mindset” to ensure the necessary support for infrastructure and platforms is available to scale exploratory research to production.

Candidate Knowledge, Skills and Experience

  • Bsc/MSc/B.Tech/M.Tech degree in Computer Science or related quantitative or analytical field.

  • Min 1 year Hands-On experience on citizen data science platform “Dataiku”

  • 2-3 years of demonstratable experience working with AWS or equivalent cloud

  • 2-3 years of experience working with Kubernetes and container-based applications.

  • 3 years or more of administering a production cluster, with an understanding of operators, storage classes and service meshes.

  • 3 years or more of experience building and delivering software using the Python programming language, exceptional ability in other programming languages will be considered

  • 3 or more years of demonstratable experience with the underlying infrastructure and tooling for running Machine Learning or Data Science at Scale using Infrastructure of Code

  • Experience working in an Agile team

  • Experience in working in a support environment or an understanding of ITIL framework

  • Experience working with internal security standards and frameworks

  • Experience working with GxP compliant life science systems will be looked upon favorably

  • Experience leveraging DevOps to enable automation strategies

  • Creative, collaborative and resilient.

  • Excellent communication is a necessity.


We’re a network of high-reaching self-starters who contribute to something far bigger. We enable AstraZeneca to perform at its peak by delivering premier technology and data solutions.

We’re not afraid to take ownership and run with it. Empowered with unrivalled freedom. Put simply, it’s because we make a significant impact. Everything we do matters.


Are you already envisioning yourself joining our team? Good, because we’d love to hear from you! Click the link to apply and we’ll be in touch as soon as we can.


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We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

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 authorisation and employment eligibility verification requirements.

50200132 C ITAE Operations

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Glassdoor logo Rated four stars on Glassdoor

Great culture, great work assignments, supportive management. Rotation opportunity within the company. They value inclusion and diversity.