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RQ09508 - Sr. Machine Learning Engineer

  • Toronto, ON, Canada
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Job details

Posting language
English

Original job description

RQ09508 - Sr. Machine Learning Engineer

Downtown, Toronto

Hybrid: 3 Days onsite / 2 days remote

Contract (8+ months contract, possible extension)

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.

Nice-to-Have:

  • Public Sector experience 
More about this job

Responsibilities

The Senior Machine Learning Engineer at Source Code will build and fine-tune language models, prepare text data, and tune models to balance accuracy against complexity. The work includes adapting pre-trained models to custom datasets.

Requirements

Candidates need a deep grasp of machine learning, NLP and transformer models, and hands-on work with TensorFlow or PyTorch. They also need strong Python skills with NumPy, Pandas and Scikit-learn, plus experience with text preprocessing and transfer learning.

Skills

  • Python
  • TensorFlow
  • PyTorch
  • BERT
  • Transformer models
  • NLP
  • NumPy
  • Pandas
  • Scikit-learn
  • Text preprocessing
  • Tokenization
  • Word embeddings
  • Hyperparameter tuning
  • Model optimization
  • Transfer learning
  • Fine-tuning
  • Text classification
  • Sentiment analysis
  • Language understanding
  • Deep learning
  • Machine learning algorithms
  • Data preprocessing

Categories

  • Technology
  • Data & Analytics
  • Software

Keywords

  • Machine Learning Engineer
  • Senior Machine Learning Engineer
  • NLP
  • Natural Language Processing
  • BERT
  • Transformers
  • Deep Learning
  • TensorFlow
  • PyTorch
  • Python
  • NumPy
  • Pandas
  • Scikit-learn
  • Text Classification
  • Sentiment Analysis
  • Transfer Learning
  • Fine-tuning
  • Hyperparameter Tuning
  • Word Embeddings
  • Tokenization

Seniority

Senior

Tools

  • TensorFlow
  • PyTorch
  • Python
  • NumPy
  • Pandas
  • Scikit-learn

Languages

  • English

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