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: