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Machine Learning Engineer

Wirehead • Toronto, ON, CA • 1d ago

Role: Machine Learning Engineer

Client: Ontario Government

Job Type: Contract

Term: 6 Months

Workplace Type: Hybrid / Onsite

Pay Rate: Negotiable

Start date: 2-3 weeks

Location: Toronto, ON

Language: English

Clearance: N/A

ATS ID #: 9917

Requirements: What you'll need

Skills, Knowledge, Experience, and Qualifications:

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

is hiring for this position. Apply on LinkedIn

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