MLOps Engineer: Deploy & Scale AI Models

Cabify; Madrid; Presencial; EUR 39.000 - 55.000; Jornada completa

Descripción de la vacante

A leading mobility company in Madrid is looking for a passionate MLOps Engineer. The role involves collaborating with data scientists to develop, deploy, and optimize machine learning models. Candidates should have experience in technical machine learning roles, proficiency in Python, and familiarity with cloud platforms and Kubernetes. Competitive salary ranging from 39K to 55K with excellent benefits including recharge days and personal development opportunities.

Servicios

Excellent Salary conditions

Recharge days (10 Free Fridays annually)

Flexible work environment & hours

Coursera license for skill development

Cabify staff free rides

Regular team events

Formación

• More than 2 years of experience in technical machine learning roles with emphasis on software engineering.
• Experience deploying applications with Kubernetes is required.
• Ability to explain complex technical concepts to non-technical audiences.

Responsabilidades

• Collaboration in model development with data scientists.
• Develop and maintain infrastructure for model deployment.
• Monitor and optimize performance of models in production.
• Assist in creating APIs for model integration.
• Collaborate in management and improvement of machine learning platform.

Conocimientos

Python

Machine Learning

Cloud Platforms (AWS, GCP)

Containerization (Docker, Kubernetes)

Problem-Solving

Communication Skills

Educación

Degree in Computer Science, Engineering, or related field

Herramientas

MLflow

TensorFlow

PyTorch

Descripción del empleo

A leading mobility company in Madrid is looking for a passionate MLOps Engineer. The role involves collaborating with data scientists to develop, deploy, and optimize machine learning models. Candidates should have experience in technical machine learning roles, proficiency in Python, and familiarity with cloud platforms and Kubernetes. Competitive salary ranging from 39K to 55K with excellent benefits including recharge days and personal development opportunities.