We are looking for a highly skilled Gen AI Machine Learning (ML) Engineer is a specialized role focused on designing, building, deploying, and maintaining the machine learning systems that power intelligent applications. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support analytics, reporting, and data science initiatives. You will work closely with data analysts, data scientists, and business stakeholders to ensure data is accessible, reliable, and optimized for performance.
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Advantages
Are you looking for a work environment that offers
• A competitive salary + bonus
• Flexible hours and remote work
• Flexible group insurance coverage
• Access to a virtual doctor
Responsibilities
Responsibilities
Your main responsibilities will be:
•Collaborate with software engineers, business stake holders and/or domain experts to translate business requirements into product features, tools, projects, AI/ML, NLP/NLU and deep learning solutions.
•Develop, implement, and deploy AI/ML solutions.
•Preprocess and analyze large datasets to identify patterns, trends, and insights.
•Evaluate, validate, and optimize AI/ML models to ensure their accuracy, efficiency, and generalizability.
•Deploy applications and AI/ML model into cloud environment such as AWS/Azure/GCP etc.
•Monitor and maintain the performance of AI/ML models in production environments, identifying opportunities for improvement and updating models as needed.
•Document AI/ML model development processes, results, and lessons learned to facilitate knowledge sharing and continuous improvement.
Qualifications
Must Have Skills include :
•Bachelor's or master’s degree in Computer Science, Data Science, Engineering, or a related field.
•Experience on Agentic AI/ Frameworks
•Strong programming skills in languages such as Python, SQL/NoSQL etc.
•Build analytical approach based on business requirements, then develop, train, and deploy machine learning models and AI algorithms
•Exposure to GEN AI models such as OpenAI, Google Gemini, Runway ML etc.
•Experience in developing and deploying AI/ML and deep learning solutions with libraries and frameworks, such as TensorFlow, PyTorch, Scikit-learn, OpenCV and/or Keras.
•Knowledge of math, probability, and statistics.
•Familiarity with a variety of Machine Learning, NLP, and deep learning algorithms.
•Exposure in developing API using Flask/Django.
•Good experience in cloud infrastructure such as AWS, Azure or GCP
•Exposure to Gen AI, Vector DB/Embeddings, LLM (Large language Model)
Skills (good to have)
Experience with MLOps: MLFlow, Kubeflow, CI/CD Pipeline etc.
Good to have experience in Docker, Kubernetes etc
Exposure in HTML, CSS, Javascript/JQuery, Node.js, Angular/React
Experience in Flask/Django is a bonus
Summary
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.
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.
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We are looking for a highly skilled Gen AI Machine Learning (ML) Engineer is a specialized role focused on designing, building, deploying, and maintaining the machine learning systems that power intelligent applications. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support analytics, reporting, and data science initiatives. You will work closely with data analysts, data scientists, and business stakeholders to ensure data is accessible, reliable, and optimized for performance.
Advantages
Are you looking for a work environment that offers
• A competitive salary + bonus
• Flexible hours and remote work
• Flexible group insurance coverage
• Access to a virtual doctor
Responsibilities
Responsibilities
Your main responsibilities will be:
•Collaborate with software engineers, business stake holders and/or domain experts to translate business requirements into product features, tools, projects, AI/ML, NLP/NLU and deep learning solutions.
•Develop, implement, and deploy AI/ML solutions.
•Preprocess and analyze large datasets to identify patterns, trends, and insights.
...
•Evaluate, validate, and optimize AI/ML models to ensure their accuracy, efficiency, and generalizability.
•Deploy applications and AI/ML model into cloud environment such as AWS/Azure/GCP etc.
•Monitor and maintain the performance of AI/ML models in production environments, identifying opportunities for improvement and updating models as needed.
•Document AI/ML model development processes, results, and lessons learned to facilitate knowledge sharing and continuous improvement.
Qualifications
Must Have Skills include :
•Bachelor's or master’s degree in Computer Science, Data Science, Engineering, or a related field.
•Experience on Agentic AI/ Frameworks
•Strong programming skills in languages such as Python, SQL/NoSQL etc.
•Build analytical approach based on business requirements, then develop, train, and deploy machine learning models and AI algorithms
•Exposure to GEN AI models such as OpenAI, Google Gemini, Runway ML etc.
•Experience in developing and deploying AI/ML and deep learning solutions with libraries and frameworks, such as TensorFlow, PyTorch, Scikit-learn, OpenCV and/or Keras.
•Knowledge of math, probability, and statistics.
•Familiarity with a variety of Machine Learning, NLP, and deep learning algorithms.
•Exposure in developing API using Flask/Django.
•Good experience in cloud infrastructure such as AWS, Azure or GCP
•Exposure to Gen AI, Vector DB/Embeddings, LLM (Large language Model)
Skills (good to have)
Experience with MLOps: MLFlow, Kubeflow, CI/CD Pipeline etc.
Good to have experience in Docker, Kubernetes etc
Exposure in HTML, CSS, Javascript/JQuery, Node.js, Angular/React
Experience in Flask/Django is a bonus
Summary
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.
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.
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