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Machine Learning Innovator for Sustainability
hace 2 meses
**About Us**
EcoVadis, the leading provider of business sustainability ratings, is committed to guiding companies towards a sustainable world.
We're looking for a highly motivated Senior Machine Learning Scientist (NLP) to join our AI Center of Excellence team in Germany. As part of this role, you'll be responsible for using machine learning and natural language processing to drive innovation across the organization and accelerate positive impact on our planet and society.
**Key Responsibilities:**
- Work with large, complex data sets to solve challenging business problems by applying advanced analytical methods as needed.
- Articulate and translate business questions into technical solutions.
- Leverage Python, MLflow, Azure stack, and Databricks to deliver end-to-end solutions.
- Build, benchmark, and maintain machine learning models.
- Promote best practices in machine learning.
- Stay in close contact with customers to evaluate their needs and recommend solutions that increase customer satisfaction and drive business value.
- Stay on top of technology trends in the area of AI and ML and apply this knowledge to the key challenges ahead of EcoVadis.
**Qualifications:**
- 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).
- Excellent understanding of architectures used in NLP, such as transformers and RNN models, and NLP tasks (e.g., named entity recognition (NER), entity linking, question answering, semantic search).
- Ability to independently design testable software components in well-scoped scenarios, with simplicity, observability, and maintenance as key considerations, and to apply best ML and software development practices.
- Experience of cross-functional collaboration in the development of ML products and services (e.g., Engineers, Product Managers) is a plus.
**Estimated Salary:** €80,000 - €120,000 per year, depending on experience.
