Machine Learning Engineer
Role details
Job location
Tech stack
Job description
features of models on individual projects and/or products with guidance and support from others* Develops understanding of the creation of new algorithms through working alongside other Machine Learning Engineers and Machine Learning Research Scientists* Facilitates the building and training of new production grade algorithms that can learn from complex, high dimensionality data in order to uncover patterns from which machine learning models and applications can be developed* Uses a variety of techniques in order to improve the performance of individual natural language processing and/or machine learning algorithms* Facilitates the testing and validation of models to determine viability for deployment with guidance and support from others* Consult for internal and external clients, implement solution development and innovation to meet clients' needs, facilitate client AI project technical deliveryQualifications* 2-4 years of commercial experience working on creating machine learning
Requirements
algorithms* Demonstrated ability to apply an engineering mindset to problem-solving* Extensive programming experience using Python* Experience working with large, real world datasets* Master's Degree in Machine Learning, Statistics, Computer Science, Physics, Math, or related field* Good commercial awareness/business judgement and an interest in the healthcare industry* Good project management, time management and organisational skills; eagerness to work with internal and client business owners to ensure they are asking the right questionsIQVIA 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 .At IQVIA, we believe that diversity, inclusion, and belonging empower our mission to accelerate