ML Platform Engineer
Role details
Job location
Tech stack
Job description
- Work hand-in-hand with data scientists to understand their needs and assist in the implementation of machine learning models.
- Architect efficient and scalable systems that drive complex ML applications.
- Monitor and optimize the performance of models in production.
- Assist in the creation of APIs for model integration.
- Lead technical efforts to improve our ML Platform.
Requirements
A leading mobility technology company in Madrid is seeking a skilled Software Engineer in Machine Learning. The role focuses on bridging software engineering and data science, scaling machine learning capabilities, and developing scalable infrastructures. Candidates should have a degree in computer science, over 2 years in machine learning roles, and proficiency in Python, Kubernetes, and machine learning frameworks like TensorFlow. The position offers an excellent salary range from 39K to 55K, along with professional development opportunities and a flexible work environment., * More than 2 years of experience in technical machine learning roles with an emphasis on software engineering.
- Experience in using and deploying applications with Kubernetes., Python Collaboration with data scientists Problem-solving skills Communication skills, Degree in Computer Science, Engineering, or related field
Benefits & conditions
Excellent salary conditions Collaborative environment Opportunities to work on cutting-edge projects Continuous learning opportunities Recharge days (10 Free Fridays annually) Flexible work environment & hours Personal development programs Coursera access for courses