Machine Learning Engineer

Managing Director, Talent Acquisition | Senior Talent Partner

Role : Machine Learning Engineer

Job Type : Contract

Term : 6 Months

Workplace Type : Hybrid / Onsite

Pay Rate : Negotiable

Location : Toronto, ON

Clearance : N / A

ATS ID # : 9917

Requirements : What you'll need

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.

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.

PREFERRED SKILLS

Machine Learning ML + NLP + TensorFlow or PyTorch + Python + BERT

HOW TO APPLY

Patrick Marsan

is hiring for this position. Apply on LinkedIn.

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