Associate Principal AI Engineer: Production-First ML Platforms

AstraZeneca GmbH; Región Centro; Híbrido; MXN 600.000 - 900.000; Jornada completa

Descripción de la vacante

AstraZeneca GmbH is seeking an Associate Principal AI Engineer to join the Enterprise AI Products and Technology Team. You will help build platforms, tooling and infrastructure powering AI across the value chain, from discovery to patient safety systems.

You will work with multidisciplinary engineers and data science teams to automate ML lifecycle, raise platform capabilities, and scale research to production while aligning with governance and security standards.

Formación

• Degree in Computer Science or related quantitative field.
• Experience in software engineering and automation leveraging DevOps.
• 3+ years building software using Python.
• Production-grade ML products or strong software engineering experience.
• Experience with container orchestration frameworks (Airflow, Argo, Kubeflow).
• Experience in Agile teams and security standards.

Responsabilidades

• Collaborate with data scientists and ML engineers to build tools and platforms for research.
• Contribute to agile team to improve ML development environments, platforms, and tooling.
• Work with governance and security functions to secure the estate without hindering productivity.
• Adapt ML methods to parallel environments (clusters, GPUs).
• Champion a production-first mindset in the data science lifecycle.

Conocimientos

Python

DevOps

Container orchestration

Agile teamwork

Security compliance

Collaboration with data science

Educación

BSc/MSc/PhD in CS

Herramientas

Airflow

Argo

Kubeflow

Descripción del empleo

AstraZeneca GmbH is seeking an Associate Principal AI Engineer to join the Enterprise AI Products and Technology Team. You will help build platforms, tooling and infrastructure powering AI across the value chain, from discovery to patient safety systems.

You will work with multidisciplinary engineers and data science teams to automate ML lifecycle, raise platform capabilities, and scale research to production while aligning with governance and security standards.