Production ML Engineer – Life Sciences AI Pipelines

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

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.