Are you a Machine Learning Engineer with strong expertise in NLP and deep learning frameworks? Join an exciting hybrid opportunity based in Toronto đ where you will build scalable ML systems using models like BERT, fine-tune them for real-world text classification tasks, and collaborate with a dynamic data science team to deliver AI-powered solutions.
...
This is a contract role of 9 months with 3 days onsite and 2 days remote per week. You will be hands-on in model development, training, optimization, and deployment in real-world scenarios with a focus on language understanding and high-quality preprocessing techniques.
Advantages
đ€ Work on cutting-edge ML/NLP projects using BERT and Transformers
đ Hybrid work model: 3 days onsite in Toronto, 2 days remote
đ§ Collaborate with experienced engineers and data scientists
đ Use real-world data to build impactful, production-ready ML models
âïž Exposure to the latest in TensorFlow, PyTorch, and NLP technologies
Responsibilities
âą Design, implement, and optimize machine learning and deep learning models for NLP tasks
âą Fine-tune and train transformer-based models like BERT for classification and sentiment analysis
âą Perform data preprocessing, including tokenization, word embeddings, and normalization
âą Collaborate with team members to define business objectives and model performance metrics
âą Conduct model testing, experimentation, and validation strategies
âą Clean and verify data quality and supervise data acquisition when necessary
âą Use Python and related libraries (NumPy, Pandas, Scikit-learn) to prepare datasets and implement models
âą Identify and adapt transfer learning strategies for domain-specific datasets
âą Monitor resource utilization and ensure model training is efficient and scalable
âą Communicate findings and recommendations clearly to both technical and non-technical stakeholders
Qualifications
Must Have
âąDeep understanding of machine learning algorithms and statistical modeling
âąStrong NLP knowledge with experience in transformer-based models (especially BERT)
âąProficiency with TensorFlow or PyTorch for training and deploying deep learning models
âąSkilled in text preprocessing, tokenization, and understanding of word embeddings
âąProficient in Python and libraries like NumPy, Pandas, and Scikit-learn
âąExperienced in hyperparameter tuning and evaluating model performance
âąFamiliarity with transfer learning using pre-trained models for custom datasets
Nice to Have
đ§ Background in statistics or computer science
đ Experience in data visualization and model interpretability
đ Familiarity with CI/CD workflows for ML pipelines
đŹ Ability to clearly document and present ML experiments and results
đ„ Experience working in Agile or cross-functional teams
Summary
This is a great opportunity for a Machine Learning Engineer to apply your deep learning and NLP expertise in building powerful machine learning systems. You will work in a collaborative, forward-thinking environment and make a tangible impact on production-ready AI initiatives.
If you are interested in this role, please apply online at www.randstad.ca. Qualified candidates will be contacted.
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
show more
Are you a Machine Learning Engineer with strong expertise in NLP and deep learning frameworks? Join an exciting hybrid opportunity based in Toronto đ where you will build scalable ML systems using models like BERT, fine-tune them for real-world text classification tasks, and collaborate with a dynamic data science team to deliver AI-powered solutions.
This is a contract role of 9 months with 3 days onsite and 2 days remote per week. You will be hands-on in model development, training, optimization, and deployment in real-world scenarios with a focus on language understanding and high-quality preprocessing techniques.
Advantages
đ€ Work on cutting-edge ML/NLP projects using BERT and Transformers
đ Hybrid work model: 3 days onsite in Toronto, 2 days remote
đ§ Collaborate with experienced engineers and data scientists
đ Use real-world data to build impactful, production-ready ML models
âïž Exposure to the latest in TensorFlow, PyTorch, and NLP technologies
Responsibilities
âą Design, implement, and optimize machine learning and deep learning models for NLP tasks
âą Fine-tune and train transformer-based models like BERT for classification and sentiment analysis
...
âą Perform data preprocessing, including tokenization, word embeddings, and normalization
âą Collaborate with team members to define business objectives and model performance metrics
âą Conduct model testing, experimentation, and validation strategies
âą Clean and verify data quality and supervise data acquisition when necessary
âą Use Python and related libraries (NumPy, Pandas, Scikit-learn) to prepare datasets and implement models
âą Identify and adapt transfer learning strategies for domain-specific datasets
âą Monitor resource utilization and ensure model training is efficient and scalable
âą Communicate findings and recommendations clearly to both technical and non-technical stakeholders
Qualifications
Must Have
âąDeep understanding of machine learning algorithms and statistical modeling
âąStrong NLP knowledge with experience in transformer-based models (especially BERT)
âąProficiency with TensorFlow or PyTorch for training and deploying deep learning models
âąSkilled in text preprocessing, tokenization, and understanding of word embeddings
âąProficient in Python and libraries like NumPy, Pandas, and Scikit-learn
âąExperienced in hyperparameter tuning and evaluating model performance
âąFamiliarity with transfer learning using pre-trained models for custom datasets
Nice to Have
đ§ Background in statistics or computer science
đ Experience in data visualization and model interpretability
đ Familiarity with CI/CD workflows for ML pipelines
đŹ Ability to clearly document and present ML experiments and results
đ„ Experience working in Agile or cross-functional teams
Summary
This is a great opportunity for a Machine Learning Engineer to apply your deep learning and NLP expertise in building powerful machine learning systems. You will work in a collaborative, forward-thinking environment and make a tangible impact on production-ready AI initiatives.
If you are interested in this role, please apply online at www.randstad.ca. Qualified candidates will be contacted.
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
show more
