Machine Learning Engr 2 Job Vacancy in IQVIA Chennai, Tamil Nadu – Latest Jobs in Chennai, Tamil Nadu

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Company Name : IQVIA
Location : Chennai, Tamil Nadu
Position : Machine Learning Engr 2

Job Description : Job Overview
This is an exciting role for a commercially experienced data-science software developer who likes tackling tough problems of a statistical nature. You will be an integral part of the predictive analytics team, advancing the team’s analysis and modelling stack such that projects can be executed more efficiently and with improved accuracy. You should want to automate your job away, so that repeated tasks are scalable, and fresh challenges and novel approaches can be pursued. Strong communication skills across disciplines is essential in order to collaboratively plan and execute end-to-end solutions with a range of experts including data scientists, software engineers, product owners and system architects.
Essential Functions
Supporting other data scientists in the use of the systems you build for the successful delivery of machine-learning client projects.Working closely with data scientists and software engineers to automate tasks and roadmap improvements for project design and execution.Carrying out a variety of product development initiatives, from requirements gathering to prototyping.Supporting the on-going build and maintenance of a cloud-based machine learning platform for project delivery and product development.Our ideal candidate: ExperienceCommercial software development experience within a company for which data was at the heart of the business.Experience in the design and delivery of multiple projects involving advanced statistical methods (preferably machine learning) in an academic and/or commercial setting.Commercial experience in the exploration, cleansing, and transformation of large and messy datasets, along with experience working with very large/complex SQL or distributed database systems.Familiarity with Agile methodologies, such as Scrum or Kanban, as well as software development practices such as Continuous Integration, Test-Driven Development and DevOps.
Qualifications
High School Diploma or equivalentAdvanced level programming skills in Python, ideally developed from experience working on long-term commercial projects, including significant experience using SciPy and machine-learning packages (Numpy, Pandas, scikit-learn, etc) for the development of maintained components. Additional experience using PySpark a big plus.Ability to integrate and scale solutions that involve large data sources in SQL databases and/or distributed systems such as Hadoop, as well as considerable experience deploying at scale on cloud technologies such as AWS, GCP, Azure.A set of software-development values that ensures high-quality, readable and maintainable code is produced within an open and collaborative environment.A pragmatic approach in scope and design, seeking simple iterative solutions wherever possible to shorten the time-to-value of work.Knowledge of supervised machine learning methods, such as regularised regressions, ensemble tree classifiers (e.g. xgboost), Support Vector Machines, deep learning, etc.Additional experience developing in C++, R, Java, Scala, Java, JavaScript, or advanced ability user of shell scripting commands (grep, sed, awk, etc).A demonstrable interest (e.g. public GitHub repo, or online course completion) in one of the following machine learning libraries (or equivalents): TensorFlow, Spark MLLib or CRAN packages for machine learning.Knowledge of healthcare / life science issues involving Real-World Evidence.
Job Overview
This is an exciting role for a commercially experienced data-science software developer who likes tackling tough problems of a statistical nature. You will be an integral part of the predictive analytics team, advancing the team’s analysis and modelling stack such that projects can be executed more efficiently and with improved accuracy. You should want to automate your job away, so that repeated tasks are scalable, and fresh challenges and novel approaches can be pursued. Strong communication skills across disciplines is essential in order to collaboratively plan and execute end-to-end solutions with a range of experts including data scientists, software engineers, product owners and system architects.
Essential Functions
Supporting other data scientists in the use of the systems you build for the successful delivery of machine-learning client projects.Working closely with data scientists and software engineers to automate tasks and roadmap improvements for project design and execution.Carrying out a variety of product development initiatives, from requirements gathering to prototyping.Supporting the on-going build and maintenance of a cloud-based machine learning platform for project delivery and product development.Our ideal candidate: ExperienceCommercial software development experience within a company for which data was at the heart of the business.Experience in the design and delivery of multiple projects involving advanced statistical methods (preferably machine learning) in an academic and/or commercial setting.Commercial experience in the exploration, cleansing, and transformation of large and messy datasets, along with experience working with very large/complex SQL or distributed database systems.Familiarity with Agile methodologies, such as Scrum or Kanban, as well as software development practices such as Continuous Integration, Test-Driven Development and DevOps.
Qualifications
High School Diploma or equivalentAdvanced level programming skills in Python, ideally developed from experience working on long-term commercial projects, including significant experience using SciPy and machine-learning packages (Numpy, Pandas, scikit-learn, etc) for the development of maintained components. Additional experience using PySpark a big plus.Ability to integrate and scale solutions that involve large data sources in SQL databases and/or distributed systems such as Hadoop, as well as considerable experience deploying at scale on cloud technologies such as AWS, GCP, Azure.A set of software-development values that ensures high-quality, readable and maintainable code is produced within an open and collaborative environment.A pragmatic approach in scope and design, seeking simple iterative solutions wherever possible to shorten the time-to-value of work.Knowledge of supervised machine learning methods, such as regularised regressions, ensemble tree classifiers (e.g. xgboost), Support Vector Machines, deep learning, etc.Additional experience developing in C++, R, Java, Scala, Java, JavaScript, or advanced ability user of shell scripting commands (grep, sed, awk, etc).A demonstrable interest (e.g. public GitHub repo, or online course completion) in one of the following machine learning libraries (or equivalents): TensorFlow, Spark MLLib or CRAN packages for machine learning.Knowledge of healthcare / life science issues involving Real-World Evidence.
IQVIA is a leading global provider of advanced analytics, technology solutions and clinical research services to the life sciences industry. We believe in pushing the boundaries of human science and data science to make the biggest impact possible – to help our customers create a healthier world. Learn more at https://jobs.iqvia.com

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