Machine Learning Engineer - Senior

Position: Machine Learning Engineer

Location: Toronto, ON (Hybrid)

Duration: 250 Days Contract + Possible Extension

Experience and Skill Set Requirements:

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.