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: Solid 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.

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