As a Data and Artificial Intelligence Designer, you will be responsible for the design, configuration, support, and optimization of cloud infrastructure as code (Infrastructure as Code, IaC - Terraform). You will need to design and develop scripts to deploy the cloud infrastructure of the data management and artificial intelligence platform. You will work closely with data solution delivery teams to optimize efficiency and ensure the stability of applications/systems.
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Advantages
Role based in Quebec, Montreal, or Toronto.
Remote position
One-year contract, renewable, with the possibility of becoming an employee.
Opportunity to work on innovative projects in the field of data and artificial intelligence.
Collaboration with cross-functional teams and internal stakeholders.
Dynamic and stimulating work environment.
Responsibilities
Design technical solutions to support teams responsible for implementing data solutions;
Configure software tools and components, as well as development and continuous deployment environments (DevOps), to optimize the efficiency of teams implementing data solutions;
Facilitate the operationalization and deployment of data and artificial intelligence solutions, including business intelligence solutions (warehouses, counters, etc.) and data science solutions (data lakes, continuous data streams, machine learning platforms, etc.);
Diagnose and provide recommendations, solutions, or technical improvements to ensure the stability of applications/systems and facilitate their evolution while reducing maintenance costs;
Provide support for the operation of implemented technical solutions, including monitoring platforms and tools, platform availability, and monitoring deployed analytical solutions;
Collaborate with various decision-making bodies, such as enterprise architecture, centers of excellence, security, and infrastructure teams, etc.;
Manage communication with vendors to resolve software operational issues, version changes, and other relevant topics, as needed.
Qualifications
Over 10 years of experience in information technology, with a minimum of 5 years in data design and artificial intelligence.
Relevant experience in designing solutions in the areas of data processing, business intelligence, data analytics, and generative data intelligence.
Proficiency in techniques, frameworks, and methodologies specific to the field of expertise (SAFe, Agile, Software Development Lifecycle, etc.).
Excellent communicator, structured, and skilled in simplifying technical concepts, with a strong ability to synthesize information and work effectively in a team.
Natural leader with the ability to influence and guide others, particularly within solution delivery teams and collaborators from various business sectors.
Strong problem identification and resolution skills.
Knowledge of the insurance industry and financial services (an asset).
Excellent skills in influencing stakeholders and making strategic recommendations.
Experience in Data and Artificial Intelligence Solution Ecosystems, including:
- Data transformation and pipeline tools (e.g., Azure Data Factory, SSIS, Spark, Databricks, etc.).
- Data storage tools (e.g., Snowflake, Azure Data Lake, etc.).
- Data science tools (e.g., Azure ML, R, Python, etc.).
- Management tools for LLM and SLM models and generative AI (e.g., Azure Foundry, Snowflake Cortex - Generative AI, etc.).
Summary
On behalf of our client, we are seeking a Data and Artificial Intelligence Designer to join a dynamic team. This role, based in Quebec, Montreal, or Toronto, requires proficiency in English or bilingualism (French alone will not be sufficient). The ideal candidate will be responsible for the design, configuration, support, and optimization of cloud infrastructure as code (Infrastructure as Code, IaC - Terraform). You will need to design and develop scripts to deploy the cloud infrastructure of the data management and artificial intelligence platform. You will work closely with data solution delivery teams to optimize efficiency and ensure the stability of applications/systems.
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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As a Data and Artificial Intelligence Designer, you will be responsible for the design, configuration, support, and optimization of cloud infrastructure as code (Infrastructure as Code, IaC - Terraform). You will need to design and develop scripts to deploy the cloud infrastructure of the data management and artificial intelligence platform. You will work closely with data solution delivery teams to optimize efficiency and ensure the stability of applications/systems.
Advantages
Role based in Quebec, Montreal, or Toronto.
Remote position
One-year contract, renewable, with the possibility of becoming an employee.
Opportunity to work on innovative projects in the field of data and artificial intelligence.
Collaboration with cross-functional teams and internal stakeholders.
Dynamic and stimulating work environment.
Responsibilities
Design technical solutions to support teams responsible for implementing data solutions;
Configure software tools and components, as well as development and continuous deployment environments (DevOps), to optimize the efficiency of teams implementing data solutions;
...
Facilitate the operationalization and deployment of data and artificial intelligence solutions, including business intelligence solutions (warehouses, counters, etc.) and data science solutions (data lakes, continuous data streams, machine learning platforms, etc.);
Diagnose and provide recommendations, solutions, or technical improvements to ensure the stability of applications/systems and facilitate their evolution while reducing maintenance costs;
Provide support for the operation of implemented technical solutions, including monitoring platforms and tools, platform availability, and monitoring deployed analytical solutions;
Collaborate with various decision-making bodies, such as enterprise architecture, centers of excellence, security, and infrastructure teams, etc.;
Manage communication with vendors to resolve software operational issues, version changes, and other relevant topics, as needed.
Qualifications
Over 10 years of experience in information technology, with a minimum of 5 years in data design and artificial intelligence.
Relevant experience in designing solutions in the areas of data processing, business intelligence, data analytics, and generative data intelligence.
Proficiency in techniques, frameworks, and methodologies specific to the field of expertise (SAFe, Agile, Software Development Lifecycle, etc.).
Excellent communicator, structured, and skilled in simplifying technical concepts, with a strong ability to synthesize information and work effectively in a team.
Natural leader with the ability to influence and guide others, particularly within solution delivery teams and collaborators from various business sectors.
Strong problem identification and resolution skills.
Knowledge of the insurance industry and financial services (an asset).
Excellent skills in influencing stakeholders and making strategic recommendations.
Experience in Data and Artificial Intelligence Solution Ecosystems, including:
- Data transformation and pipeline tools (e.g., Azure Data Factory, SSIS, Spark, Databricks, etc.).
- Data storage tools (e.g., Snowflake, Azure Data Lake, etc.).
- Data science tools (e.g., Azure ML, R, Python, etc.).
- Management tools for LLM and SLM models and generative AI (e.g., Azure Foundry, Snowflake Cortex - Generative AI, etc.).
Summary
On behalf of our client, we are seeking a Data and Artificial Intelligence Designer to join a dynamic team. This role, based in Quebec, Montreal, or Toronto, requires proficiency in English or bilingualism (French alone will not be sufficient). The ideal candidate will be responsible for the design, configuration, support, and optimization of cloud infrastructure as code (Infrastructure as Code, IaC - Terraform). You will need to design and develop scripts to deploy the cloud infrastructure of the data management and artificial intelligence platform. You will work closely with data solution delivery teams to optimize efficiency and ensure the stability of applications/systems.
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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