RQ09508 - Sr. Machine Learning Engineer
Posted Updated 4
views
Summary
The Senior Machine Learning Engineer will develop and optimize NLP models, specifically focusing on BERT and transformer-based architectures, using Python and deep learning frameworks like TensorFlow or PyTorch. This is a hybrid contract role based in Toronto requiring expertise in model fine-tuning and data preprocessing.
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