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 Youll 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 Were Looking For
- 24 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
Required Experience:
IC
About the RoleThis 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 client...
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 Youll 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 Were Looking For
- 24 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
Required Experience:
IC
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