Seeking an experienced IT Solutions Architect with a specialized focus on Big Data, Artificial Intelligence (AI), and MLOps (Machine Learning Operations). The ideal candidate will play a pivotal role in designing and implementing cutting-edge solutions that leverage big data and AI technologies while ensuring efficient deployment and management through MLOps practices.
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Additional information:
Contract in consultation
Term: 12 months renewable
Start date: April 14th 2025 (40h/week) - Hybrid
Technological equipment provided
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Advantages
Preferred Qualifications:
• Certifications in relevant areas such as AWS Certified Solutions Architect, Google Cloud Professional Data Engineer, or Microsoft Certified: Azure AI Engineer Associate.
• Experience with containerization technologies such as Docker and Kubernetes, and their application in AI and MLOps workflows.
• Knowledge of DevOps practices and tools for continuous integration and deployment (CI/CD).
Responsibilities
• Architecture Design: Design end-to-end solutions that harness big data and AI technologies to address complex business challenges.
• Big Data Expertise: Provide architectural guidance and best practices for big data platforms, including data ingestion, storage, processing, and analytics.
• AI Integration: Architect AI-driven solutions by leveraging machine learning and deep learning techniques to extract insights, automate processes, and enhance decision-making.
• MLOps Implementation: Establish MLOps pipelines and practices to streamline the development, deployment, and monitoring of machine learning models in production environments.
• Collaboration: Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders, to ensure alignment between technical solutions and business objectives.
• Technical Leadership: Provide technical leadership and mentorship to internal teams, guiding them in the adoption of best practices related to big data, AI, and MLOps.
• Continuous Learning: Stay abreast of emerging trends and technologies in big data, AI, and MLOps domains, and evaluate their potential applicability to organizational goals.
Qualifications
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven experience as a Solutions Architect, with a focus on designing and implementing solutions involving big data and AI technologies.
• In-depth knowledge of big data technologies and frameworks such as Hadoop, Spark, Kafka, and NoSQL databases.
• Strong understanding of AI/ML concepts, algorithms, and frameworks such as TensorFlow, PyTorch, and scikit-learn.
• Hands-on experience with MLOps practices, including model deployment, monitoring, and versioning, using tools like Kubeflow, MLflow, or TensorFlow Extended (TFX).
• Proficiency in cloud platforms such as AWS, Azure, or Google Cloud Platform, and experience with relevant services for big data and AI.
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with technical and non-technical stakeholders.
• Strong problem-solving skills and the ability to translate business requirements into technical solutions.
Summary
Randstad Digital is committed to fostering a workforce that is representative of all populations in Canada. We are therefore committed to developing and implementing strategies to promote equity, diversity and inclusion in all areas of our business by reviewing our internal policies, practices and systems throughout the life cycle of our workforce, including recruitment, retention and advancement for all individuals. In addition to our strong commitment to human rights principles, we are committed to taking positive steps to influence change to ensure that all individuals can participate in the workplace without barriers, systemic or otherwise, especially for equity-seeking groups that are generally underrepresented in the Canadian workforce, including people who identify as women or non-binary/gender non-conforming, Aboriginal Peoples and communities, people with disabilities (visible and invisible), visible minorities, racialized people and LGBTQ2+ communities.
Randstad Digital is committed to creating and maintaining an inclusive and accessible workplace for all applicants and employees by supporting their accessibility and accommodation needs throughout the employment life cycle. We ask that all applicants identify their accommodation needs by emailing accessibilite@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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Seeking an experienced IT Solutions Architect with a specialized focus on Big Data, Artificial Intelligence (AI), and MLOps (Machine Learning Operations). The ideal candidate will play a pivotal role in designing and implementing cutting-edge solutions that leverage big data and AI technologies while ensuring efficient deployment and management through MLOps practices.
Additional information:
Contract in consultation
Term: 12 months renewable
Start date: April 14th 2025 (40h/week) - Hybrid
Technological equipment provided
...................................................................
Advantages
Preferred Qualifications:
• Certifications in relevant areas such as AWS Certified Solutions Architect, Google Cloud Professional Data Engineer, or Microsoft Certified: Azure AI Engineer Associate.
• Experience with containerization technologies such as Docker and Kubernetes, and their application in AI and MLOps workflows.
• Knowledge of DevOps practices and tools for continuous integration and deployment (CI/CD).
Responsibilities
• Architecture Design: Design end-to-end solutions that harness big data and AI technologies to address complex business challenges.
...
• Big Data Expertise: Provide architectural guidance and best practices for big data platforms, including data ingestion, storage, processing, and analytics.
• AI Integration: Architect AI-driven solutions by leveraging machine learning and deep learning techniques to extract insights, automate processes, and enhance decision-making.
• MLOps Implementation: Establish MLOps pipelines and practices to streamline the development, deployment, and monitoring of machine learning models in production environments.
• Collaboration: Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders, to ensure alignment between technical solutions and business objectives.
• Technical Leadership: Provide technical leadership and mentorship to internal teams, guiding them in the adoption of best practices related to big data, AI, and MLOps.
• Continuous Learning: Stay abreast of emerging trends and technologies in big data, AI, and MLOps domains, and evaluate their potential applicability to organizational goals.
Qualifications
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven experience as a Solutions Architect, with a focus on designing and implementing solutions involving big data and AI technologies.
• In-depth knowledge of big data technologies and frameworks such as Hadoop, Spark, Kafka, and NoSQL databases.
• Strong understanding of AI/ML concepts, algorithms, and frameworks such as TensorFlow, PyTorch, and scikit-learn.
• Hands-on experience with MLOps practices, including model deployment, monitoring, and versioning, using tools like Kubeflow, MLflow, or TensorFlow Extended (TFX).
• Proficiency in cloud platforms such as AWS, Azure, or Google Cloud Platform, and experience with relevant services for big data and AI.
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with technical and non-technical stakeholders.
• Strong problem-solving skills and the ability to translate business requirements into technical solutions.
Summary
Randstad Digital is committed to fostering a workforce that is representative of all populations in Canada. We are therefore committed to developing and implementing strategies to promote equity, diversity and inclusion in all areas of our business by reviewing our internal policies, practices and systems throughout the life cycle of our workforce, including recruitment, retention and advancement for all individuals. In addition to our strong commitment to human rights principles, we are committed to taking positive steps to influence change to ensure that all individuals can participate in the workplace without barriers, systemic or otherwise, especially for equity-seeking groups that are generally underrepresented in the Canadian workforce, including people who identify as women or non-binary/gender non-conforming, Aboriginal Peoples and communities, people with disabilities (visible and invisible), visible minorities, racialized people and LGBTQ2+ communities.
Randstad Digital is committed to creating and maintaining an inclusive and accessible workplace for all applicants and employees by supporting their accessibility and accommodation needs throughout the employment life cycle. We ask that all applicants identify their accommodation needs by emailing accessibilite@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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