ML Tools & MLOps Engineer

IQVIA; Madrid; Presencial; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A global healthcare technology leader in Madrid is seeking an experienced Machine Learning Engineer to join their team. The candidate will develop and maintain software packages that support ML engineering projects. Responsibilities include collaborating with data scientists and enhancing software products used for model development. Ideal candidates should have expertise in Python, software best practices, and machine learning algorithms. This role offers the chance to work on significant health outcomes and push boundaries in patient care.

Servicios

Access to cutting-edge technology

Collaborate with top minds in Healthcare

Innovative work environment

Formación

• Experience with software products used by data scientists.
• Familiarity with a programming language used by data scientists (Python, R, etc.).
• Experience with best practices in software development.

Responsabilidades

• Develop and maintain software packages for ML engineering projects.
• Work closely with model building teams for client delivery.
• Support data scientists in their model development needs.

Conocimientos

Algorithms and data structures

Performance optimization

Backend software programming

Python

Continuous integration

Machine learning algorithms

DNN libraries (PyTorch, Tensorflow)

Numerical optimization

Educación

Advanced degree in Engineering, Computer Science, Mathematics, Physics

Herramientas

Docker

AWS

GCP

Descripción del empleo

A global healthcare technology leader in Madrid is seeking an experienced Machine Learning Engineer to join their team. The candidate will develop and maintain software packages that support ML engineering projects. Responsibilities include collaborating with data scientists and enhancing software products used for model development. Ideal candidates should have expertise in Python, software best practices, and machine learning algorithms. This role offers the chance to work on significant health outcomes and push boundaries in patient care.