AI Engineer

Reposted 7 Days Ago
Be an Early Applicant
6 Locations
In-Office
Mid level
Healthtech
The Role
The AI Engineer will work on software for machine learning, collaborating with data scientists, and implementing best practices in software development. Responsibilities include writing modeling packages and optimization processes for healthcare applications.
Summary Generated by Built In

Machine Learning Engineer

Commercial Solutions

This is an exciting opportunity to work in one of the world's leading human data science teams working with Commercial Solutions to help our clients answer specific questions globally, make more informed decisions, and deliver results. We are looking for an experienced and highly productive Machine Learning Engineer to join our team.

The team develops software primarily in python, interspersed with a variety of other technologies, including tooling around CI/CD and ML Ops (and anything you can introduce which simplifies or improves our processes is always welcome). The team creates and maintains packages that support ML engineering projects. As such, the team does not directly develop models but instead writes modeling packages and works closely with the model building team as they use the packages for client delivery. 

Please don’t feel you need to perfectly match the requirements; we are trying to give a flavor of what we do, what we need, and how you will fit into the team. If this description resonates with you and you don’t feel you have all the right skills, that’s ok!

Ideally you will have

  • Previous experience of owning, maintaining, and enhancing software products used by data scientists and supporting data scientists in their development needs

  • Familiarity with algorithms, data structures, and performance optimization

  • Programming experience in full stack software development

  • Intimately familiar with a language typically used by data scientists, e.g. Python, R, MATLAB, Julia

  • Experience in logic development, unit tests, code review, core programming of backend software

  • Good knowledge of software development best practices including testing, continuous integration, and DevOps tools 

  • Familiarity with agile software development lifecycle (scrum, Kanban, etc.) 

  • Some familiarity with machine learning algorithms (classification, regression) and processes (how to build models, assess their goodness of fit, etc.) 

  • Some background with real analysis, linear algebra, numerical approximation and optimization techniques, and probability theory

  • Attention to clarity of code, ease of development, and correctness of implementations 

Bonus points for any of the following 

  • Advanced degree in Engineering, Computer Science, Mathematics, Physics, or similar quantitative discipline

  • Produced a complete and installable software package (e.g. RPM packaging, python source distribution, etc.) 

  • Produced GPU accelerated software before (using Boost:Compute, OpenCL, CUDA, Arrayfire, etc.) 

  • Authored or collaborated on an ML library/software package 

  • Programmed using distributed systems (e.g. Hadoop, Spark, MPI) 

  • Contributed to open-source projects 

  • Comfortable with numerical optimisation (in particular Bayesian hyperparameter optimisation) 

  • Knowledge of cloud systems such as AWS, GCP and containerisation such as Docker 

  • Used DNN libraries such as PyTorch, Tensorflow, Flux 

  • Knowledge of biostatistics/life sciences/healthcare technology

The Team 

This high-profile team work on ground-breaking problems in health outcomes across disease areas including Ophthalmology, Oncology, Neurology, Chronic diseases (such as diabetes), and a variety of very rare conditions. The team works hand-on-hand with Statisticians, Epidemiologists and disease area experts across the wider global Real-World Solutions group, leveraging a vast variety of anonymous patient-level information. The data encompasses IQVIA’s access to over 530 million anonymised patients as well as bespoke, custom partnerships with healthcare providers and payers.  

Why Join? 

Those who join us become part of a recognized global leader still willing to challenge the status quo to improve patient care. In RWS, you will have access to the most cutting-edge technology, the largest data sets, the best analytics tools and, in our opinion, some of the finest minds in the Healthcare industry. 

We thank all applicants for their interest; however, only those selected for an interview will be contacted

IQVIA is a strong advocate of diversity and inclusion in the workplace.  We believe that a work environment that embraces diversity will give us a competitive advantage in the global marketplace and enhance our success.  We believe that an inclusive and respectful workplace culture fosters a sense of belonging among our employees, builds a stronger team, and allows individual employees the opportunity to maximize their personal potential.

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com

Top Skills

Arrayfire
AWS
Boost:Compute
Ci/Cd
Cuda
DevOps
Docker
GCP
Hadoop
Julia
Matlab
Opencl
Python
PyTorch
R
Spark
TensorFlow
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The Company
Bangalore, Karnataka
61,500 Employees
Year Founded: 2016

What We Do

IQVIA (NYSE:IQV) is a leading global provider of advanced analytics, technology solutions, and clinical research services to the life sciences industry. IQVIA creates intelligent connections across all aspects of healthcare through its analytics, transformative technology, big data resources and extensive domain expertise. IQVIA Connected Intelligence™ delivers powerful insights with speed and agility — enabling customers to accelerate the clinical development and commercialization of innovative medical treatments that improve healthcare outcomes for patients. With approximately 70,000 employees, IQVIA conducts operations in more than 100 countries. To learn more, visit www.iqvia.com.

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