Overview
Machine Learning Engineer Jobs in Toronto – Ontario at GTT, LLC
Title: Machine Learning Engineer
Company: GTT, LLC
Location: Toronto – Ontario
Category: IT/Tech, Software Development
Machine Learning Engineer
Job Overview:
Machine Learning Engineers will work with DDR Development teams to unlock machine learning and business intelligence in DDR and other Driver and Vehicle Services to re-platform and modernize the services.
Job Responsibilities:
The Machine Learning Engineer will create machine learning models and utilize data to train models
Focuses on analyzing data to find relations between the input and the desired output
Understands business objectives and develops models that help achieve them, along with metrics to track their progress
Designs and develops machine learning and deep learning systems
The Machine Learning Engineer will run machine learning tests and experiments
Implements appropriate machine learning algorithms
Evaluation Criteria
All
Requirements
Are ‘ Must Have ‘:
(15%) Deep Understanding of Machine Learning Concepts:
Proficiency in fundamental machine learning concepts, algorithms, and techniques.
Expertise in Natural Language Processing (NLP):
Knowledge of NLP techniques and models, especially BERT and other transformer-based models, for tasks like text classification, sentiment analysis, and language understanding.
(20%)
Experience with
Deep Learning Frameworks:
Proficiency in deep learning libraries such as Tensor Flow or PyTorch.
Experience with
implementing, training, and fine-tuning BERT models using these frameworks is crucial.
(30%)Data Preprocessing
Skills:
Ability to
perform text preprocessing, tokenization, and understanding of word embed dings.
Programming
Skills:
Strong programming skills in Python, including experience with libraries like Num Py, Pandas, and Scikit-learn.
(20%) Model
Optimization
and Tuning:
Skills in optimizing model performance through hyperparameter tuning and understanding of trade-offs between model complexity and performance.
(15%) Understanding of Transfer Learning:
Knowledge of how to leverage pre-trained models like BERT for specific tasks and adapt them to custom datasets.
Note:
Hybrid role- 3-days per week on-site required
