Mid-Level Machine Learning Engineer
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Company Description
Work smart, have fun and make an impact! Our purpose is to guide all companies toward a sustainable world. EcoVadis is the leading provider of business sustainability ratings. Our solutions are backed by an international team of experts and powerful technology. We analyze data and build sustainability scorecards that give companies actionable insights into their environmental, social, and ethical risks.
Job Description
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
Qualifications
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 along with relevant 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, and source management
- Familiarity with cloud technology, preferably Azure
- Experience with docker and container orchestration
Additional Information
In return for your expertise, we offer:
- Support with all 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 opportunities
- 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
Company Culture
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! We encourage those who do not fit all criteria to apply so our team can assess your skills. We embrace all candidates regardless of their professional and educational background. EcoVadis is committed to equity, inclusion, and respect for uniqueness in every aspect of our hiring processes and work environment.