Machine Learning Engineer

Found in: beBee jobs CA - 2 weeks ago


Toronto, Ontario, Canada GTT, LLC Full time
Machine Learning Engineer

Job Overview:


Machine Learning Engineers will work with DDR Development teams to unlock machine learning and business intelligence in DDR and other Driver and Vehicle Services to re-platform and modernize the services.


Job Responsibilities:
The Machine Learning Engineer will create machine learning models and utilize 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
The Machine Learning Engineer will run machine learning tests and experiments
Implements appropriate machine learning algorithms

Evaluation Criteria

All Requirements Are ' Must Have ':
(15%) 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.

(20%) 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.

(30%)

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.

(20%) Model Optimization and Tuning:

Skills in optimizing model performance through hyperparameter tuning and understanding of trade-offs between model complexity and performance.

(15%) Understanding of Transfer Learning:

Knowledge of how to leverage pre-trained models like BERT for specific tasks and adapt them to custom datasets.

Note:
Hybrid role- 3-days per week on-site required
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