MLOps Engineer

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

Do you want to change the world? At Cabify, that’s what we’re doing. We aim to make cities better places to live by improving mobility for the people living in them, connecting riders to drivers at the touch of a button. Maybe one day cities will be places where nobody needs a private car. But we’ve still got a long way to go… fancy joining us?

About the position

We are looking for a passionate and technically skilled MLOps Engineer to join our Data Engineering team. In this role, you will be responsible for collaborating with data scientists in the development, deployment, and optimization of machine learning models, ensuring that our solutions are scalable and efficient.

Key Responsibilities

• Collaboration in Model Development: work hand‑in‑hand with data scientists to understand their needs and assist in the implementation of machine learning models.
• Model Deployment: develop and maintain the necessary infrastructure to deploy models into production, ensuring their scalability and reliability.
• Model Optimization: monitor and optimize the performance of models in production, implementing improvements from a software engineering perspective.
• API Development: assist in the creation of APIs that facilitate the integration of models into our existing systems, ensuring optimal performance.
• Platform Maintenance: collaborate in the ongoing management and improvement of our machine learning platform, Lykeion.
  Effective Communication: act as a bridge between data scientists and the engineering team, ensuring fluid and effective communication.

Qualifications

• Degree in Computer Science, Engineering, or a related field.
• More than 2 years of experience in technical machine learning roles, with an emphasis on software engineering.
• Proficiency in programming languages such as Python.
• Experience with machine learning frameworks and libraries (e.g., MLflow, TensorFlow, PyTorch) is a plus.
• Familiarity with cloud platforms (AWS, GCP) and containerization technologies (Docker, Kubernetes). Experience in using and deploying applications with Kubernetes is required.
• Strong problem‑solving skills and ability to work in a team.
• Excellent communication skills to explain complex technical concepts to non‑technical audiences.

What We Offer

We’re a company full of motivated people and we never want that to change. Here are some more reasons why it rocks to be part of our high‑performance team.

💶Excellent Salary conditions: 39K - 55K

💪A collaborative and innovative environment where your contributions make a real impact.

🔝Opportunities to work on cutting‑edge projects and advance your career in machine learning.

📚Continuous learning and development opportunities to enhance your expertise in machine learning.

🏝️Recharge days! (10 Free Fridays annually)

🌍Our office is located in Madrid

⌚Flexible work environment & hours.

🙌Regular team events.

🚗Cabify staff free rides.

🚀Personal development programs based on our career paths.

📐Coursera: your own license in Coursera to take as many courses as you wish and continue developing your skills.

At Cabify, diversity fuels our Product & Engineering teams. We actively recruit talent beyond traditional channels, embracing individuals from diverse backgrounds and supporting initiatives like Women Tech Dating, Contrata Diferente and our Internal Diversity Committee. Our commitment is reflected in inclusive job descriptions, creating an environment where every contribution is cherished. Join Cabify to be part of innovative teams that truly represent the rich tapestry of talent in the tech industry.