Senior Machine Learning Scientist

hace 4 semanas


Barcelona, Barcelona, España Ecovadis A tiempo completo

We are looking for a highly motivated Senior Machine Learning Scientist (NLP) to join our growing AI Center of Excellence team, responsible for using machine learning and natural language processing to drive innovation across the organization and accelerate positive impact on our planet and society.

You will be part of the team of 20 scientists and engineers delivering solutions for our product portfolio and enhancing operational excellence.

Your global responsibilities will include:

  • Working with large, complex data sets to solve challenging business problems by applying advanced analytical methods as needed.
  • Articulating and translating business questions into technical solutions.
  • Leveraging Python, MLflow, Azure stack (e.g., Azure cloud, Azure ML, Azure Data Factory) and Databricks to deliver end-to-end solutions.
  • Building, benchmarking, and maintaining machine learning models.
  • Promoting best practices in machine learning.
  • Staying in close contact with customers to evaluate their needs and recommend solutions that increase customer satisfaction and drive business value.
  • Staying on top of technology trends in the area of, but not limited to, AI and ML and apply this knowledge to the key challenges ahead of EcoVadis.

Qualifications

Education and experience

  • 5+ years of overall experience in machine learning and data mining techniques.
  • Demonstrable experience in using machine learning techniques and algorithms for classification/regression problems in industry.
  • Proficiency in Python and ML frameworks and libraries (e.g., TensorFlow, PyTorch).

Skills, abilities and work standards

  • Continuous Learner: Ability to continually develop and improve one's skill and knowledge to perform effectively and adapt to change in the workplace
  • Personally Effective: Making use of all of the personal resources at your disposal (talents, skills, energy, and time) to achieve goals


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