Junior Machine Learning Engineer

Junior Machine Learning Engineer (NLP / Generative AI)

About the Role

We are looking for an early-career Machine Learning Engineer to join our AI team and contribute to the development of Machine Learning, NLP, and Generative AI solutions for healthcare and life sciences applications. The role is designed for candidates who have strong ML foundations, are passionate about AI, and are eager to learn and grow in a collaborative environment.

You will work alongside experienced Machine Learning Engineers and Researchers, helping to develop, test, and improve AI solutions while gaining exposure to real-world datasets, modern ML techniques, and production-oriented AI systems.

Essential Requirements

Education

We will only consider candidates with a relevant quantitative educational background.

Applicants must have completed, or be in the final stages of completing, a Master's degree in Machine Learning, Computer Science, Data Science, Statistics, Mathematics, Physics, Bioinformatics, Artificial Intelligence, or a closely related quantitative discipline.

Candidates who have not yet completed a Bachelor's degree will not be considered.

Availability

This is a full-time position. Candidates must be available to work full-time.

Machine Learning Fundamentals

Candidates should demonstrate a solid understanding of core Machine Learning concepts, including:

• Train, validation, and test datasets
• Cross-validation
• Overfitting and underfitting
• Model evaluation
• Classification and regression
• Feature engineering
• Hyperparameter tuning
• Basic statistical reasoning

Programming

• Python programming experience
• Experience working with datasets and implementing machine learning solutions

Preferred Qualifications

We are particularly interested in candidates who can demonstrate genuine interest in NLP and Generative AI through:

• Research projects
• Master's thesis work
• University assignments
• Hackathons
• Open-source contributions
• Personal projects
• Relevant internships or work experience

Examples include:

• Natural Language Processing (NLP)
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• AI Agents
• Model evaluation

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.