Junior Machine Learning Engineer

Job Overview
Develop fit for purpose AIML models/algorithms/processes and Agentic AI applications to address pharma/healthcare applications and innovative products upon completion of prototypes followed by the building of production grade algorithms/automation engines for client deliverables. Test for viability in order to deliver final products to clients. Able to bring newly researched ideas to reality quickly and on a large scale. Design, build, test, and deliver products from post-prototype to client delivery.

Essential Functions

• Supporting development of Agentic AI solutions in the life sciences domain
• Fine-tuning pre-trained foundation models and supporting different stakeholders with analysis and implementation
• Assists in the transformation of machine learning research domain expertise in the areas of human data into viable prototypes
• Assists in the development of 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
• Assists in 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
• With guidance and support from others, assists in the testing and validation of models to determine viability for deployment.
• Assists in creating fit for purpose experiments and prototype ideas to address pharma questions.
• Consult for internal and external clients, implement solution development and innovation with guidance and support from others, assist in client AI project technical delivery

Qualifications

• Master's Degree Master's Degree in Machine Learning, Statistics, Computer Science, Physics, Math, or related field
• 0-2 years' experience working on creating machine learning algorithms
• Programming experience using Python
• Experience working with large, real world datasets
• Good project management, time management and organisational skills; eagerness to work with internal and client business owners to ensure they are asking the right questions

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.

IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.

At IQVIA, we believe that diversity, inclusion, and belonging empower our mission to accelerate innovation for a healthier world. We create a culture of belonging by valuing the perspectives of all talented employees worldwide and providing them with the opportunity to power smarter healthcare for everyone, everywhere. When our talented employees bring their authentic selves and their diverse experiences to work, they enable us to accomplish extraordinary things. Multifaceted thought processes spark innovation. Multi-talented collaboration harnesses innovation to deliver superior outcomes. Likewise, as part of this culture, IQVIA is committed to ensuring effective equality between women and men, integrating it as a strategic principle in its corporate and human resources policies.