Machine Learning Engineer

This company in the scientific publishing sector, dedicated to developing an open-source platform, is looking for a Machine Learning Engineer that helps us to design and build a new generation of tools that will transform open-access publishing.

• Work in a team of machine learning engineers responsible for the productization of models developed by data scientists.
• Collaborate with data scientists, software engineers and data engineers to design scalable state-of-the-art infrastructure to serve machine learning models in production.
• Research and adopt the best MLOps standards to design and develop scalable end-to-end machine learning pipelines.
• Identify opportunities for machine learning process automation.
• Establish and enforce best practices (e.g. in development, quality assurance, optimization, release, and monitoring).

Requirements

• Degree in Computer Science or similar.
• Solid understanding of software development best practices.
• Extensive experience in Python (as well as machine learning / deep learning related libraries).
• Experience writing production-grade code and maintaining production-grade web services.
• Experience with REST API design in Python (e.g. Flask, FastAPI, Celery).
• Experience with machine learning model development and deployment.
• Experience with a Cloud Platform (e.g. Azure, AWS, GCP).
• Solid understanding of supervised and unsupervised machine learning algorithms.
• Experience with containerization technology (Docker/Kubernetes).
• Detailed understanding of MLOps project life cycle, as well as different solutions for each stage.
• Experience with Machine learning platforms and frameworks such as MLflow, Kubeflow, TFX, Seldon, etc.
• Great communication, teamwork, problem-solving, and organizational skills.

Benefits

• Continuous catch-up with latest technology, you won’t get bored!
• Really senior colleagues in all fields of IT, you will learn new things every single day.
• Exciting projects, you’ll work in different applications and features along the year.
• 25 annual leave days + 4 well-being days.
• Participation in the annual company bonus scheme.
• Flexible working framework.
• Remote working across Spain.
• On-off bonus to set-up your workspace at home.
• If you ever come to the office, we have top-notch facilities in WeWork (Castellana 77, Madrid).
• Extensive learning opportunities through our Pluralsight and LinkedIn Learning partnership.
• 3 volunteering days through the online platform Alaya.
• Access to Headspace app for mindfulness exercises.
• Online Yoga classes.
• A monthly social Happy Hour to share beers and tapas with colleagues.