RQ09508 - Sr. Machine Learning Engineer at Source Code in Toronto, ON, Canada

Job description

• RQ09508 - Sr. Machine Learning Engineer
• Downtown, Toronto
• Hybrid: 3 Days onsite / 2 days remote
• Contract (8+ months contract, possible extension)

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.
• Public Sector experience

Skills

Required

• BERT and other transformer-based models
• TensorFlow or PyTorch
• Python
• NumPy, Pandas, Scikit-learn
• Hyperparameter tuning
• Transfer learning

Preferred

• Public Sector experience