• Senior Consultant - Deep Learning Engineer Jobs in Chennai,India - 25702517

  • AstraZeneca Ltd

Job Description:

Job Title Senior Consultant - Deep Learning Engineer

Department Science and Enabling Units IT

Function Data and Analytics Team

Location Chennai

Reports to AI Engineering Team Lead

Career Level D1

Experience 6 8 years


AstraZeneca is a global, innovation-driven biopharmaceutical business that focuses on the discovery, development, and commercialization of prescription medicines for some of the worlds most serious diseases But were more than one of the worlds leading pharmaceutical companies At AstraZeneca, were 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


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 disciplines, eg creating data preparation pipelines, modeling and training state of the art deep neural networks (CNNs/RNNs/LSTMs/Transformers) as well as deploying inferencing 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 best practices 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 an expert 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 leveraging 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 (eg distributed clusters, multicore SMP, and GPU)
Deploying machine learning solutions into production
Optimizing solutions for performance and scalability
Data engineering, ie 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 Its also likely youll get involved in team recruitment, training provision, and coaching

Candidate Knowledge, Skills and Experience


MS in Computer Science or related quantitative field or PhD 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 eg, 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


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


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

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

Profile Summary:

Employment Type : Full Time
Eligibility : Any Graduate
Industry : Biotechnology/Pharmaceutical/Medicine, Manufacturing/Industrial
Functional Area : IT Software : Software Products & Services
Role : Software Engineer
Salary : As per Industry Standards
Deadline : 19th Jul 2020

Key Skills:

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