Machine Learning Engineer

Summary

Join our forward-thinking team as a passionate and skilled Machine Learning Engineer. You will design, develop, and deploy machine learning models to drive key business decisions and enhance product offerings. Collaborate with data scientists, data engineers, and software developers to integrate machine learning solutions into existing systems. Key responsibilities include model development and deployment, data processing, performance optimization, collaboration with cross-functional teams, innovation, and continuous learning about our ML Platform. We offer excellent salary conditions, a collaborative environment, opportunities to work on cutting-edge projects, continuous learning and development opportunities, recharge days, flexible work environment and hours, and various other benefits.

Requirements

• 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

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

Benefits

• 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
• 3 weeks full remote six-monthly
• 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