Senior Machine Learning Scientist - NLP

November 10

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EcoVadis

WebsiteLinkedInAll Job Openings

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)