Senior Machine Learning Engineer, EcoVadis

MLOps

Salary not provided
Docker
Python
Linux
Azure
Senior level
Remote in Spain
Barcelona

More information about location

EcoVadis

Business sustainability ratings provider

Be an early applicant

EcoVadis

Business sustainability ratings provider

1001+ employees

B2BSustainabilityAnalyticsBusiness IntelligenceEnvironmental

Be an early applicant

Salary not provided
Docker
Python
Linux
Azure
Senior level
Remote in Spain
Barcelona

More information about location

1001+ employees

B2BSustainabilityAnalyticsBusiness IntelligenceEnvironmental

Company mission

To provide the world’s most-trusted sustainability ratings, enabling all businesses to reduce risk, drive performance, and improve environmental and social outcomes.

Role

Who you are

  • 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
  • M.S. 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 (e.g., 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 (e.g., Engineers, Product Managers) is a plus
  • Familiarity with (non) relational databases

Desirable

  • Contribution to open-source libraries is a plus
  • Knowledge of other languages, ecosystems, and CI/CD tools, experience with docker and container orchestration

What the job involves

  • 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
  • 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 (e.g., Azure cloud, Azure ML, Azure Data Factory) and Databricks to deliver end-to-end solutions
  • Contract: Permanent

Application process

  • 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!

Our take

With an increasing drive for businesses to be more transparent with their global carbon impact, companies need to find a way to collate their data. This data can then be used to inform business decisions and aid companies in their mission to decrease their carbon emissions. EcoVadis provides business sustainability ratings with the aim of creating a global marketplace where sustainability intelligence influences every business decision.

EcoVadis has devised a criteria based on international sustainable development standards. The criteria considers specific challenges, geographical location and company size to create its rating, ensuring its ratings reflect the company as fairly as possible. The main objective of the rating is to measure the quality of a company’s CSR management system through its policies, actions, and results.

This concept is increasingly pertinent given the emphasis placed on sustainability by consumers, and so EcoVadis are smartly targeting this key area. It currently operates with 90,000 companies of all sizes across more than 200 industries in 160 countries, highlighting the importance of the ratings it provides.

Freddie headshot

Freddie

Company Specialist

Insights

Top investors

Many candidates hear
back within 2 weeks

47% employee growth in 12 months

Company

Funding (last 2 of 4 rounds)

Jun 2022

$500m

SERIES C

Jan 2020

$200m

GROWTH EQUITY VC

Total funding: $735m

Company benefits

  • Flexi-time
  • Casual and friendly environment
  • Virtual and in-person team building events
  • Opportunity to work in an international atmosphere
  • Learning and Development
  • Wellness Programs
  • Sustainability events & community involvement
  • Budget to furnish your home office
  • Peer recognition program
  • Employee-led resource groups
  • Referral bonus
  • Choice of working at the office, remotely, or mixing both

Company values

  • Make sustainability real
  • Every customer matters
  • Belong
  • Integrity at our core
  • Dare to...
  • Be kind

Company HQ

Chaillot, Paris, IDF

Leadership

Was CEO of B2Build SA, the first B2B marketplace for the European construction industry. Also has experience as a Director for the Ariba Procurement BPO business.

Frédéric Trinel

(Co-CEO)

Holds a degree in International Business from ICAD Business School. Previously founded Mr. Ted Ltd as COO.

Salary benchmarks

We don't have enough data yet to provide salary benchmarks for this role.

Submit your salary to help other candidates with crowdsourced salary estimates.

Share this job

View 14 more jobs at EcoVadis