Mid-Level Machine Learning Engineer

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
• Knowledge of data versioning tools (e.g. DVC)

• Location: Barcelona or Remote from Spain
• Start date: May 2025

In return for your expertise, we offer:

• Support with all the necessary office and IT equipment
• Flexible working hours
• Wellness allowance for mental and physical wellbeing
• Access to professional mental health support
• Referral bonus policy
• Learning and development 
• Sustainability events and community involvement
• Peer recognition program
• Employee-led resource groups
• Hybrid work organization (from the office or from home)
• Remote work from abroad policy
• Meals and Transportation Vouchers (Cobee card)
• Dental Benefits 
• Life & Accident Insurance + Private Health Insurance
• Paid employee volunteer day
• Paid moving day (1/year)
• Time off: 1 Community Service Day + 1 Personal Day
• Summer Hours in July and August (36 hours per week)
• Hybrid Monthly Allowance for electricity and Internet

Our hiring team looks forward to reviewing your CV and cover letter with a guaranteed response to every application. A new job with purpose awaits you!

Don’t fit all the criteria but still think you’d be a good candidate? Please apply anyway to give our hiring team the opportunity to assess your skills and to learn more about what you could bring to EcoVadis. We’re interested in hiring capable people, regardless of professional and educational background.

Can the hiring process be adjusted to suit my needs? Yes. We want everyone going through the hiring process with EcoVadis to feel confident that you are able to demonstrate your full potential. We welcome applications from disabled people, people with long-term health conditions, and neurodiverse candidates. If you need any adjustments, including the provision of interview questions, please let the hiring team know.

Our team’s strength comes from everyone’s uniqueness and is founded upon mutual respect. EcoVadis commits to equity, inclusion and reducing bias in our hiring processes. EcoVadis does not accept any form of discrimination based on color, national or ethnic origin, ancestry, citizenship, religion, beliefs, age, sex, gender identity, sexual orientation, neurodiversity, disability, parental status, or any other protected characteristic that makes you unique. In your application, we encourage you to remove personal information such as: photographs, marital status, number of children, religion, gender, residential postal code, university graduation date, past medical or parental leave(s) taken, nationality (instead, please state if you are legally eligible to work in the job region/country), university name (instead, please state any degrees obtained and the study major).