Senior Engineer – ML Ops Support Engineer Job Vacancy in AstraZeneca Chennai, Tamil Nadu – Updated today

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Company Name : AstraZeneca
Location : Chennai, Tamil Nadu
Position :

Job Description : JOB TITLE : SENIOR ENGINEER
CAREER LEVEL: D3
Embrace novel and varied challenges working across the business
Be connected to different functions, areas and roles across the business. We are supported by leaders in our aspiration to break down boundaries and draw on inter-functional learnings. It means we get to face interesting business problems and varied data. One day working along the whole development cycle from molecules to delivery, the next supporting HR processes or medicine launches
About astrazeneca
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.
About the team
A team of deep specialists, our skills range from mathematics to computation. Our diversity is our strength. We turning complex information into lifechanging and practical insights, every day. Our progressive operating model means that we stay at the forefront. Evolving and learning from what we’re seeing externally.
We impact patients lives. Empowering and enabling the business to run faster and better, we play a part in improving lives across the world.
About the role
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 ML 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 the end users of ML model and applications from across the company to understand their challenges. You will need to work with them to triage and resolve issues in production, from random unexpected or missing inference output to a systematic decline in performance of the model.
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.
Contribute to patterns and reusable templates which can be leveraged by ML engineers in order to provide standardized model performance metrics which can be used to monitor production deployed models.
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.
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 hands on experience with ML model development and productionisation
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.
WHY JOIN US ?
A place to do important work. We connect across the whole business to power each function to better influence patient outcomes and improve their lives. Impactful and valuable, this is where you come to raise your profile and do good for others. Rise to the challenge of shaping the future of an evolving business in the technology space.
SO, WHAT’S NEXT?
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.
WHERE CAN I FIND OUT MORE?
Our Social Media, Follow AstraZeneca on LinkedIn https://www.linkedin.com/company/1603/
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.

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