RQ09508 - Sr. Machine Learning Engineer
Toronto, ON, Canada · today
You will build, fine-tune and adapt BERT and other transformer-based NLP models for tasks such as text classification, sentiment analysis and language understanding, and optimize their performance. The role is a hybrid contract based in downtown Toronto.
- Workplace
- Hybrid
- Seniority
- Senior
Skills
About the role
RQ09508 - Sr. Machine Learning Engineer Downtown, Toronto Hybrid: 3 Days onsite / 2 days remote Contract (8+ months contract, possible extension) Must-Haves: • 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. • Experience with Deep Learning Frameworks: Proficiency in deep learning libraries such as TensorFlow or PyTorch. Experience with implementing, training, and fine-tuning BERT models using these frameworks is crucial. • Data Preprocessing Skills: Ability to perform text preprocessing, tokenization, and understanding of word embeddings. • Programming Skills: Strong programming skills in Python, including experience with libraries like NumPy, Pandas, and Scikit-learn. • Model Optimization and Tuning: Skills in optimizing model performance through hyperparameter tuning and understanding of trade-offs between model complexity and performance. • Understanding of Transfer Learning: Knowledge of how to leverage pre-trained models like BERT for specific tasks and adapt them to custom datasets. Nice-to-Have: • Public Sector experience
Posted Nov 9, 2026