Machine Learning Engineer

IQVIA; Województwo mazowieckie; On-site; PLN 70,000 - 90,000; Full time

Job summary

A leading global provider of clinical research services is seeking an experienced engineer to build and deploy AI solutions in the life sciences domain. The ideal candidate will have 2-4 years of experience in delivering machine learning solutions and strong programming skills in Python. Responsibilities include designing ML pipelines and collaborating with teams to translate business needs into scalable solutions. A degree in a relevant field is required, along with experience in cloud-based deployments.

Qualifications

• 2–4 years of experience delivering ML solutions in a commercial or production environment.
• Hands-on experience with large datasets and cloud-based deployment.
• Interest in emerging technologies such as generative AI and foundation models.

Responsibilities

• Design, implement, and optimize end-to-end ML pipelines for healthcare applications.
• Collaborate with cross-functional teams to translate business needs into scalable AI solutions.
• Ensure model performance, reliability, and compliance for deployment.

Skills

Programming in Python

Machine Learning frameworks (PyTorch, TensorFlow)

Experience with large datasets

Cloud-based deployment (AWS, Azure, GCP)

Familiarity with MLOps tools (Docker, Kubernetes)

Education

Degree in Computer Science, Machine Learning, or related field

Tools

MLflow

Job description

About the Role

This is a hands‑on engineering role focused on building and deploying production‑grade AI solutions in the life sciences domain. You will work on scalable implementations of AI/ML models, transforming prototypes into robust solutions that deliver real impact for global healthcare clients.

What You’ll Do

• Design, implement, and optimize end-to-end ML pipelines for healthcare applications.
• Work on a variety of AI/ML projects, including opportunities to apply generative AI and foundation models where relevant.
• Build and maintain production‑ready algorithms that handle complex, high‑dimensional data.
• Collaborate with cross‑functional teams to translate business needs into scalable AI solutions.
• Ensure model performance, reliability, and compliance for deployment in regulated environments.

What We’re Looking For

• 2–4 years of experience delivering ML solutions in a commercial or production environment (not just academic projects).
• Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow).
• Hands‑on experience with large datasets and cloud‑based deployment (AWS, Azure, GCP).
• Familiarity with modern ML techniques and interest in emerging technologies such as generative AI and foundation models.
• Degree in Computer Science, Machine Learning, or related field.
• Ability to work in a fast‑paced environment and bridge technical and business requirements.

Nice to Have

• Experience with MLOps tools (Docker, Kubernetes, MLflow).
• Knowledge of life sciences or healthcare data.

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.

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.