Job Title: Senior Consultant -  Deep Learning Engineer
Location: TRIL GTC
GCL:    D1

Company

AstraZeneca is a global, innovation-driven bio-pharmaceutical 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

We are looking for a Deep Learning Engineer to join our AI Engineering team in Chennai. The ideal candidate will have industry experience working on a range of different Deep Learning fields, e.g. creating data preparation pipelines, modelling and training state of the art deep neural networks (CNNs/RNNs/LSTMs/Transformers) as well as deploying inference pipelines to process unseen data at scale. The position will involve taking these skills and applying them to some of the most exciting data & prediction problems in drug discovery. You will work as part of a global team of deeply technical data scientists, knowledge engineers & machine learning 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.

We are working in collaboration with our scientists to help develop better drugs faster, choose the right treatment for a patient and run safer clinical trials. Our team empowers our scientists from early development to the late stages in drug development, driving innovation and acting as a catalyst for the adoption of the latest advances in Artificial Intelligence and Data Science. You will work closely with scientists & product teams and learn to deliver DL solutions at scale within the AstraZeneca tech stack, whilst encouraging standard methodologies for DL across the company.

We are looking for deep learning engineers capable of building robust and accurate DL-based systems, tools, and services that serve as infrastructure for practically everyone in AstraZeneca. As a strong software leader and a specialist in building complex systems, you will be responsible for inventing how we use technology, Deep Learning and data to enable the productivity of AstraZeneca.

You will help envision, build, deploy and develop our next generation of data engines and tools at scale.

Key Accountabilities

• Understand, develop and optimize highly scalable classifiers and regression models and tools demonstrating machine learning and statistics
• Work collaboratively with other DL engineers globally on scientific problems such as audio analytics and image segmentation & classification.
• Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
• Deploying machine learning solutions into production.
• Optimizing solutions for performance and scalability.
• Data engineering, i.e. ensuring a good data flow between database and backend systems with high performance data pipelines.
• Implementing custom machine learning code.
• Explain analyses and machine learning solutions to technical audiences
• Liaise with other teams to enhance our technological stack, to enable the adoption of the latest advances in Data Processing and AI
• Being an active member of the AI Engineering team, you will benefit from, and contribute to, our expanding bank of Data Science algorithms and work efficiently with our data science infrastructure. You will get involved in testing and assessing the quality of new tools. It’s also likely you’ll get involved in team recruitment, training provision and coaching

Candidate Knowledge, Skills and Experience

Essential

• MS in Computer Science or related quantitative field or Ph.D degree in Computer Science or related quantitative field
• 2+ years of experience and demonstrable deep technical skills in one or more of the following areas: machine learning, recommendation systems, pattern recognition, natural language processing or computer vision.
• 1+ year of experience with one or more DL frameworks such as Tensorflow or PyTorch.
• Experience with scientific and machine learning libraries e.g., SciPy, SciKit-learn, numPy.
• Strong software development skills, with proficiency in Python or Scala preferred
• Experience building large scale data processing pipelines
• Experience with Cloud computing, Hadoop/Spark, SQL
• Ability to explain and present analyses and machine learning concepts to a broad technical audience
• Creative, collaborative, & product focused

Desirable

• Ability to work with loosely defined objectives and turning these into concrete machine learning problems
• Experience training and deploying machine learning models at scale on distributed cloud environments
• Experience with reinforcement learning is a plus

Other

The role will have no direct line reports, but task management responsibilities within project or services may occur

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, gender, sexual orientation, age, marital status, veteran status, or disability status. 
 

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.