About the job RQ09508 - Sr. Machine Learning Engineer RQ09508 - Sr. Machine Learning Engineer Downtown, Toronto
Hybrid: 3 Days onsite / 2 days remote
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: Robust 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.

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📌 Sr. Machine Learning Engineer (Ontario)
🏢 Source Code
📍 Ontario