Machine Learning Engineer
IQVIARomania23 hours ago
Full-timeEngineering, Information Technology
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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
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.
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.
- 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.
- Experience with MLOps tools (Docker, Kubernetes, MLflow).
- Knowledge of life sciences or healthcare data.
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.
Key Skills
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