Machine Learning Engineer

Cabify; Madrid; Presencial; EUR 45.000 - 55.000; Jornada completa

Descripción de la vacante

Cabify is seeking a skilled Machine Learning Engineer to design and deploy innovative ML models that enhance their offerings. This role involves collaboration with diverse teams and offers excellent salary conditions, continuous learning opportunities, and a flexible work environment.

Servicios

Excellent Salary conditions

Flexible work environment & hours

10 Free Fridays annually

Regular team events

Free rides for Cabify staff

Coursera license for skills development

Formación

• 2+ years of experience in machine learning or related field.
• Experience with machine learning frameworks and libraries.
• Strong problem-solving skills.

Responsabilidades

• Collaborate with data scientists to design and implement models.
• Develop infrastructure for deploying models into production.
• Monitor and optimize model performance.

Conocimientos

Python

Problem-Solving

Collaboration

Educación

Bachelor's or Master's degree in Computer Science, Engineering, or related field

Herramientas

MLflow

TensorFlow

PyTorch

AWS

GCP

Docker

Kubernetes

Descripción del empleo

We are seeking a passionate and skilled Machine Learning Engineer to join our forward-thinking team.

As a Machine Learning Engineer, you will be responsible for designing, developing, and deploying machine learning models that drive key business decisions and enhance our product offerings. You will work closely with data scientists, data engineers, and software developers to integrate machine learning solutions into our existing systems.

Key Responsibilities

• Model Development: Collaborate with data scientists to design and implement models that address business and product needs.
• Model Deployment: Develop and maintain infrastructure for deploying models into production, ensuring scalability and reliability.
• Data Processing: Work with data engineers to ensure data is clean, well-structured, and accessible for model training and evaluation.
• Performance Optimization: Continuously monitor and optimize model performance, implementing improvements as necessary.
• Collaboration: Work closely with cross-functional teams to integrate machine learning solutions into products and services.
• Innovation: Stay up-to-date with the latest advancements in machine learning and apply them to improve our solutions.
• Evolution: Learn about our ML Platform and help the team to keep improving and growing.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 2+ years of experience in machine learning or a related field, not focused in the science layer, more on the technical one.
• Proficiency in programming languages such as Python.
• Experience with machine learning frameworks and libraries (e.g., MLflow mainly if possible, but can be TensorFlow, PyTorch).
• Familiarity with cloud platforms (e.g., AWS, GCP) and containerisation technologies (e.g., Docker, Kubernetes).
• Strong problem-solving skills and the ability to work collaboratively in a team environment.
• Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

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: L3 [Up to 55K gross annually]
• 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 (but we have remote positions).
• 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.

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