Senior Consultant Machine Learning Engineer

Job Description

We are looking for a number of Machine Learning Engineers to join our AI Engineering team in Chennai. The ideal candidate will have industry experience working on a range of different Machine Learning disciplines, e.g. search ranking, text/sentiment classification, image recommendations, and others. 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 looking for junior and senior engineers to establish the ML effort for our team, building ML-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, Machine 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

• Help to establish our data science environment, tools, and platforms.
• Understand, develop and optimize highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models
• 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
• More than 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+ experience with one or more DL frameworks such as Tensorflow or PyTorch.
• Experience using cloud data science tools like AzureML, AWS Sagemaker, GCP s cloud AI
• Working knowledge of a few data platform tools such as Domino, H20, Databricks, Dataiku, Rapidminer, DataRobot, etc
• Strong software development skills, with proficiency in Python and Scala, preferred
• Experience building large scale data processing pipelines
• Experience with Cloud computing, Hadoop/Spark, SQL, ETL
• Ability to explain and present analyses and machine learning concepts to a broad technical audience
• Creative, collaborative, & product-focused

Desirable

• Use of Data Science Modelling Tools eg. R, Python, Hadoop, Spark, SAS and Data Science Notebooks (e.g. Jupyter)
• Experience with filesystems, server architectures, and distributed systems
• Experience deploying to production systems & optimizing for performance

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Keyskills :
sas tools data hadoop python science spark odelling