Senior Machine Learning Scientist - NLP

November 10, 2024

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EcoVadis

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EcoVadis is a SaaS company that offers sustainability intelligence solutions for companies of any size and industry, focused on managing ESG risk, compliance, and corporate sustainability goals. The platform provides services like sustainability ratings, risk mapping, carbon management, and due diligence to help companies improve their sustainability performance. EcoVadis covers over 180 countries and 220 industries, offering detailed insights to support supply chain sustainability and compliance with global regulations. The company also provides resources such as the EcoVadis Learning Academy to help companies meet specific sustainability targets, including net-zero carbon goals. EcoVadis serves a broad range of industries, including finance, pharmaceuticals, consumer goods, and more.

Responsible Sourcing • Corporate Social Responsibility • Sustainability • Supply Chain • Sustainable Procurement

1001 - 5000 employees

Founded 2007

☁️ SaaS

📋 Compliance

🏢 Enterprise

💰 Secondary Market on 2022-11

📋 Description

• Looking for a highly motivated Senior Machine Learning Scientist (NLP) • Responsible for using machine learning and natural language processing to drive innovation • Part of a team of 20 scientists and engineers delivering solutions for product portfolio • Working with large, complex data sets to solve challenging business problems • Articulating and translating business questions into technical solutions • Leveraging Python, MLflow, Azure stack and Databricks to deliver solutions • Building, benchmarking, and maintaining machine learning models • Promoting best practices in machine learning • Staying in close contact with customers to evaluate their needs • Staying on top of technology trends in AI and ML and applying knowledge

🎯 Requirements

• PhD or Master’s degree in quantitative discipline (e.g., Statistics/Applied Math, Artificial Intelligence, Computer Science, Data Science, Physics) • 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

🏖️ Benefits

• Casual and very friendly work environment • Hybrid work organization (from the office or from home) • Flexible working hours • Home office allowance program • IT equipment allowance • Working from anywhere policy • Opportunity to work in a truly international atmosphere • Base salary + variable compensation plan • GRSP and TFSA matching program available • Meals and Transportation Vouchers (Cobee card) • Health, Wellness, and Dental Benefits • 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)