Machine Learning Engineer

2 days ago

Toronto, Ontario, Canada Huntel Global Full time

Title:
Machine Learning Engineer

Location:
Toronto, ON (Onsite)

Type:
Long Term Contract

Introduction:

Join a rock-solid organization as our client's next Machine Learning Engineer and sit at the center of projects that drives decisions. You'll help one of Canada's most trusted organizations work on the latest project, and be rewarded with great opportunities.

Responsibilities:

  • Creates machine learning models and utilizes data to train models Focuses on analyzing data to find relations between the input and the desired output
  • Understands business objectives and develops models that help achieve them, along with metrics to track their progress
  • Designs and develops machine learning and deep learning systems Runs machine learning tests and experiments Implements appropriate machine learning algorithms
  • Manage available resources such as hardware, data, and personnel so that deadlines are met
  • Analyze the machine learning algorithms that could be used to solve a given problem and ranking them by their success probability
  • Visualize data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
  • Verify data quality, and/or ensuring it via data cleaning
  • Supervise the data acquisition process if more data is needed

Must Have:

  • 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.

About Drake International:

Since 1951, Drake International has been a global leader in flexible and permanent staffing, connecting people with the right roles at any career stage, both in Canada and worldwide. As a leading recruitment and HR partner, we collaborate directly with employers to bring you the best opportunities at no cost, ensuring a human-centered approach that helps everything work seamlessly.

Drake International is an equal opportunity employer and champions accessibility, inclusivity and diversity in the workplace. We are committed to providing accommodation for applicants with disabilities throughout the recruitment process. If you require accommodation, please contact your Branch Representative.

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