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Job ID: 38997
Job Openings by Title Machine Learning Engineer
Location Ontario, Canada
Description:
Position: Machine Learning Engineer
 

 	
Job ID: 38997
 
Responsibilities:
-Work on impactful projects that range from predicting customer life-time values and optimizing customer journeys to incorporating novel data sources for building cutting-edge pricing algorithms
-Help the team leverage machine learning algorithms to automate and predict claim outcomes and find new and innovative ways to impact our customers.
-Help build the foundation that enables the team to bring insights to the business and impact millions of customers.  
-Be part of the team that expands the scope of algorithms used in production systems 

Qualifications:
-A degree in Computer Science/Engineering or related field.
- 4+ programming experience in Python with strong grasp of software engineering standard methodologies such as code-reusability, modularity, use of repos, etc
- 3+ years of applied experience in ML, deep learning and NLP
-Have expert understanding of machine learning and NLP tasks such as classification, feature engineering, information extraction, structured prediction, sentiment analysis, and topic modelling
-Fully understand different neural networks (LSTM, seq2seq, etc.), different word embedding models and transfer learning.
-Knowledge of packages such as Tensorflow, Pytorch, Keras, Scikit Learn, Pandas, and NLTK.
-Proficiency with PostgreSQL, Teradata, Hadoop and AWS is an asset.
-Experience in a data-driven software engineering environment, with an end-to-end understanding of how to leverage data to make business decisions.
-A proven track record in building and maintaining high quality, robust and maintainable code.
-Experience building and working within a Continuous Integration framework.
-Understanding of Data Warehouse concepts, ETL strategies and best practices.
-An appetite for problem solving with a creative and resourceful approach to finding the right solution for the job.
-Strong communication and collaboration skills
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