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.
We are looking for a Machine Learning Engineer who can work on the productization, deployment, and maintenance of machine learning algorithms to join our ML Engineering team.
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).
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.
What they offer
Really senior colleagues in all fields of IT, you will learn new things every single day.
Exciting projects, you’ll work on different applications and features throughout 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.
Extensive learning opportunities.
A monthly social Happy Hour to share beers and tapas with colleagues.