ML Data Engineer - End-to-End Production Pipelines

Insud Pharma; Madrid; Presencial; EUR 45.000 - 75.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Training and language learningPlatform

Wellness platform with unlimited free

Development plans

Descripción de la vacante

Insud Pharma's AI Labs is seeking a Data Engineer / Machine Learning Engineer to design, build, deploy, and operate end-to-end data and ML solutions across regulatory, clinical, and manufacturing domains.

You will collaborate with data scientists and software engineers, implement scalable data pipelines, ML workflows, and production-grade APIs using Python, FastAPI/Flask, and modern MLOps practices in a Madrid-based team.

Formación

• Proficient in Spanish and English.
• Strong Python skills with clean code practices.
• Experience in building data pipelines and ML workflows.

Responsabilidades

• Design, build, deploy, and operate end-to-end data and ML solutions across multiple business units.
• Collaborate with data scientists and software engineers to productionize models.
• Develop scalable data pipelines and ML infrastructure with robust monitoring.

Conocimientos

Python

REST APIs

Git

Docker

AWS/Azure

MLOps

Data pipelines

SQL/NoSQL

FastAPI/Flask

English

Spanish

Herramientas

Airflow

Dagster

Prefect

Pandas

NumPy

Scikit-learn

PyTorch

TensorFlow

Docker

Descripción del empleo

Insud Pharma's AI Labs is seeking a Data Engineer / Machine Learning Engineer to design, build, deploy, and operate end-to-end data and ML solutions across regulatory, clinical, and manufacturing domains.

You will collaborate with data scientists and software engineers, implement scalable data pipelines, ML workflows, and production-grade APIs using Python, FastAPI/Flask, and modern MLOps practices in a Madrid-based team.