Remote Senior Machine Learning Scientist

Summary

Join our growing AI Center of Excellence team as a highly motivated Senior Machine Learning Scientist (NLP) to drive innovation across the organization and accelerate positive impact on our planet and society.

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

Responsibilities

• 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

Benefits

• Competitive salaries
• Extensive onboarding
• Teammates' support
• Brand new e-learning platform bursting with courses and modules
• 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)