Job Description
We are looking for a highly motivated Staff 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 (but will not be limited to):
• 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
• Building, benchmarking, and maintaining machine learning models and identifying data annotation efforts
• Innovating by adapting new machine learning algorithms and recent advances in generative AI
• Promoting best practices in machine learning and mentoring junior team members
• Leading functional teams and projects to accelerate the adoption of technology and AI within the organization
• Leveraging Python, MLflow, Azure stack (e.g., Azure cloud, Azure ML, Azure Data Factory) and Databricks to deliver end-to-end solutions
• 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 apply this knowledge to the key challenges ahead of EcoVadis.
Qualifications
Education and experience
• PhD or Master's degree in quantitative discipline (e.g., Statistics/Applied Math, Artificial Intelligence, Computer Science, Data Science, Physics)
• 8+ years of overall experience in machine learning and NLP
• Expert knowledge of machine learning from forecasting to 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)
• Advanced knowledge of ML frameworks and libraries (e.g., TensorFlow, PyTorch)
• Experience in leading end-to-end NLP projects, from design to implementation to integration, and applying best software development practices
• Excellent mentoring skills and accountability for high quality and timely delivery of the initiatives they lead
• Experience of cross-functional collaboration in the development of AI-powered products and services (e.g., Engineers, Product Managers) is a plus
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