Senior Machine Learning Engineer

hace 4 semanas

Barcelona, Barcelona, España Ecovadis A tiempo completo

Job Title: Senior Machine Learning Engineer

About the Role:

We are seeking a highly motivated Senior Machine Learning Engineer to join our growing AI Center of Excellence at Ecovadis. As a key member of our team, you will be responsible for using machine learning to drive innovation across the organization.

Key Responsibilities:

  • 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 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.

Requirements:

  • Outgoing personality along with an exceptional level of drive and a desire to pursue a career in an international and dynamic environment.
  • 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.
  • Bonus: Contribution to open-source libraries is a plus.
  • Knowledge of other languages, ecosystems, and CI/CD tools; experience with docker and container orchestration.

About Ecovadis:

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.

Benefits:

  • International and very friendly work environment.
  • Hybrid for colleagues who live near our offices (4 days per month) otherwise remote in the country you were hired in.
  • Flexible working hours.
  • Home office allowance program.
  • IT equipment allowance.
  • 90 days Working from anywhere policy.
  • Meals and Transportation Vouchers (Cobee card).
  • Health, Wellness, and Dental Benefits.
  • Unlimited and completely confidential sessions with psychologists and online well-being programs.
  • Employee referral bonus policy.
  • Paid employee volunteer day.
  • Paid moving day (1/year).
  • Access to online learning library.
  • Virtual and in-person team building events.
  • Co-working space with various services + opportunity to work in different locations (Europe and International).

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