Job Search and Career Advice Platform

Enable job alerts via email!

Machine Learning Engineer

IQVIA

Warszawa

On-site

PLN 120,000 - 160,000

Full time

Today
Be an early applicant

Generate a tailored resume in minutes

Land an interview and earn more. Learn more

Job summary

A leading global provider of healthcare intelligence is seeking an AI Engineer to build and deploy production-grade AI solutions. The role involves designing ML pipelines and collaborating with cross-functional teams to address business needs. Ideal candidates will have 2-4 years of ML experience, strong Python skills, and familiarity with cloud deployment. The position is based in Warsaw, Poland, and offers the chance to impact global healthcare outcomes.

Qualifications

  • 2–4 years of experience delivering ML solutions in a commercial environment.
  • Strong programming skills in Python and experience with ML frameworks.
  • Hands-on experience with large datasets and cloud-based deployment.

Responsibilities

  • Design, implement, and optimize end-to-end ML pipelines for healthcare applications.
  • Work on AI/ML projects, including generative AI implementations.
  • Collaborate with cross-functional teams to translate business needs into AI solutions.

Skills

Machine Learning
Python
Cloud deployment (AWS, Azure, GCP)
MLOps tools (Docker, Kubernetes)

Education

Degree in Computer Science or related field

Tools

PyTorch
TensorFlow
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.

EEO Minorities/Females/Protected Veterans/Disabled

Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.