Machine Learning Engineer
Posted: May 25, 2021
Location: Montreal (remote), Quebec
Internship Program: Digital Tech
Salary Range: $50,000 - $60,000
Hours per Week: 35
Start Date: September 13, 2021
End Date: March 18, 2022
We are looking for a Natural Language Processing Engineer to help us improve our NLP products and create new NLP applications.
NLP Engineer responsibilities include transforming natural language data into useful features using NLP techniques to feed classification algorithms. To succeed in this role, you should possess outstanding skills in statistical analysis, machine learning methods and text representation techniques.
Your ultimate goal is to develop efficient self-learning NLP applications.
Duties and Responsibilities
Study and transform data science prototypes
Design NLP applications & algorithms
Select appropriate annotated datasets for Supervised Learning methods
Use effective text representations to transform natural language into useful features
Find and implement the right algorithms and tools for NLP tasks
Develop NLP systems according to requirements
Train the developed model and run evaluation experiments
Perform statistical analysis of results and refine models
Extend ML libraries and frameworks to apply in NLP tasks
Remain updated in the rapidly changing field of machine learning
Knowledge and Skills
Experience as an NLP Engineer or similar role
Understanding of NLP techniques for text representation, semantic extraction techniques, data structures and modeling
Ability to effectively design software architecture
Understanding of text representation techniques (such as n-grams, bag of words, sentiment analysis etc), statistics and classification algorithms
Knowledge of Python, Java and R
Ability to write robust and testable code
Experience with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
Strong communication skills
An analytical mind with problem-solving abilities
Degree in Computer Science, Mathematics, Computational Linguistics or similar field
How to Apply
To apply, send your resume to email@example.com.
Working with CICan to get a Digital Tech Intern in our company has been an enormous help to us. We were able to expand our team's capabilities and take on additional projects as a result of having the technical resource on-staff. The grant offered by CICan significantly de-risked the process of hiring a recent graduate with minimal experience. Our intern has been fantastic and has been very quick to learn new skills on the job and become a solid contributor within our team.