Senior Machine Learning Scientist

hace 1 mes

Barcelona, España Ecovadis A tiempo completo

.Work smart, have fun and make an impactOur purpose is to guide all companies toward a sustainable world.EcoVadis is the leading provider of business sustainability ratings. Our solutions are backed by an international team of experts and powerful technology.We analyze data and build sustainability scorecards that give companies actionable insights into their environmental, social and ethical risks.Why apply to EcoVadis? Be a part of the global sustainability change in business. Grow your career. Work with extraordinary people.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).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.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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