Machine Learning Engineer
Job Description:
Description
We are looking for a highly motivated 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. Join us!Â
Your global responsibilities will include (but will not be limited to):
Leverage data to solve business problems of various business units at EcoVadis
Design, develop and maintain scalable ML systems
Ensure ML lifecycle monitoring by applying the best practices in MLOps and green IT
Engage in building ML engineering infrastructure and systems to orchestrate batch and streaming pipelines, and leverage Infrastructure as Code (IaC) to manage and provision infrastructure
Partner with scientists and engineers to make ML models accessible to end-users and downstream processes
Build and enhance feature stores
Leverage Python, MLflow, Azure stack (, Azure cloud, Azure ML, Azure Data Factory) and Databricks to deliver end-to-end solutions
Qualifications
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.Â
Degree in Computer Science, Mathematics, Engineering, or a related technical discipline
Demonstrable experience in designing ML systems and integrating those into business applications
Excellent knowledge of Python, other languages are a plus
Deep knowledge of machine learning lifecycle, principles, and tooling
Experience in cloud technology, preferably Azure and its ecosystem (, Azure Data Factory, Azure Bicep)
Solid understanding of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
Experience in Linux OS and scripting
Knowledge of data management fundamentals and data storage principles
Experience of cross-functional collaboration in the development of ML products and services (, Engineers, Product Managers) is a plus
Familiarity with (non) relational databases
Bonus
Contribution to open-source libraries is a plus
Knowledge of other languages, ecosystems, and CI/CD tools, experience with docker and container orchestration
Additional Information
Our growing team in Spain is full of talented professionals from various fields who all share a desire to make sustainability real. We offer competitive salaries and support personal growth from day one. This includes extensive onboarding, teammates’ support and a brand new e-learning platform bursting with courses and modules. So you can learn new skills and fine-tune old ones!
Benefits:
Our hiring team looks forward to reviewing your CV, in English, with a guaranteed response to every application. A new job with purpose awaits you!
Donât fit all the criteria but still think youâd be a good candidate? Â 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. Weâre interested in hiring capable people, regardless of professional and educational background.
Can the hiring process be adjusted to suit my needs? Â 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.
Description
We are looking for a highly motivated 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. Join us!Â
Your global responsibilities will include (but will not be limited to):
Leverage data to solve business problems of various business units at EcoVadis
Design, develop and maintain scalable ML systems
Ensure ML lifecycle monitoring by applying the best practices in MLOps and green IT
Engage in building ML engineering infrastructure and systems to orchestrate batch and streaming pipelines, and leverage Infrastructure as Code (IaC) to manage and provision infrastructure
Partner with scientists and engineers to make ML models accessible to end-users and downstream processes
Build and enhance feature stores
Leverage Python, MLflow, Azure stack (, Azure cloud, Azure ML, Azure Data Factory) and Databricks to deliver end-to-end solutions
Qualifications
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.Â
Degree in Computer Science, Mathematics, Engineering, or a related technical discipline
Demonstrable experience in designing ML systems and integrating those into business applications
Excellent knowledge of Python, other languages are a plus
Deep knowledge of machine learning lifecycle, principles, and tooling
Experience in cloud technology, preferably Azure and its ecosystem (, Azure Data Factory, Azure Bicep)
Solid understanding of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
Experience in Linux OS and scripting
Knowledge of data management fundamentals and data storage principles
Experience of cross-functional collaboration in the development of ML products and services (, Engineers, Product Managers) is a plus
Familiarity with (non) relational databases
Bonus
Contribution to open-source libraries is a plus
Knowledge of other languages, ecosystems, and CI/CD tools, experience with docker and container orchestration
Additional Information
Our growing team in Spain is full of talented professionals from various fields who all share a desire to make sustainability real. We offer competitive salaries and support personal growth from day one. This includes extensive onboarding, teammates’ support and a brand new e-learning platform bursting with courses and modules. So you can learn new skills and fine-tune old ones!
Benefits:
Our hiring team looks forward to reviewing your CV, in English, with a guaranteed response to every application. A new job with purpose awaits you!
Donât fit all the criteria but still think youâd be a good candidate? Â 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. Weâre interested in hiring capable people, regardless of professional and educational background.
Can the hiring process be adjusted to suit my needs? Â 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.
