Full-Time Mid-Level Machine Learning Engineer

EcoVadis is hiring a remote Full-Time Mid-Level Machine Learning Engineer. The career level for this job opening is Experienced and is accepting Barcelona, Spain based applicants remotely. Read complete job description before applying.

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EcoVadis

Job Title

Mid-Level Machine Learning Engineer

Posted

Career Level

Full-Time

Career Level

Experienced

Locations Accepted

Barcelona, Spain

Job Details

We are looking for a highly motivated Mid-level Machine Learning (ML) Engineer to join our growing AI Center of Excellence, responsible for using machine learning to drive innovation across the organization.

We welcome applications from Spain (office: Barcelona) with an option of remote work.

Your global responsibilities will include (but will not be limited to):

  • Leverage data to solve business problems of various business units at EcoVadis
  • Experiment, deploy and maintain ML models by ensuring scalability and speed
  • Design ML pipelines by applying the best practices in MLOps
  • Build ML engineering infrastructure and systems to orchestrate batch and real-time pipelines
  • Partner with scientists and engineers to make ML models accessible to end-users and downstream processes
  • Leverage Python, MLflow, Azure stack (e.g., Azure cloud, Azure ML, Azure Data Factory) and Databricks to deliver end-to-end solutions

Who we are looking for

  • You have an outgoing personality along with an exceptional level of drive and a desire to pursue a career in an international and dynamic environment.
  • You also possess excellent verbal and written communication, critical thinking and analytical skills.
  • Degree in Computer Science, Mathematics, Engineering, or a related technical discipline
  • Strong programming skills in Python as well as related ML libraries
  • Industry experience on production-grade end to end ML projects (2 years)
  • Knowledge of machine learning lifecycle, principles, and MLOps tooling (e.g. MLFlow, Kubeflow)
  • Experience with REST API for ML model serving
  • Understanding of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, CI/CD tools and operations
  • Familiarity with cloud technology, preferably Azure
  • Experience with docker and container orchestration
  • Bonus: Contribution to the open-source libraries is a plus
  • Bonus: Knowledge of data versioning tools (e.g. DVC)
  • Location: Barcelona or Remote from Spain
  • Start date: May 2025

FAQs

What is the last date for applying to the job?

The deadline to apply for Full-Time Mid-Level Machine Learning Engineer at EcoVadis is 9th of May 2025 . We consider jobs older than one month to have expired.

Which countries are accepted for this remote job?

This job accepts [ Barcelona, Spain ] applicants. .

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