Description Being part of Air Canada is to become part of an iconic Canadian symbol, recently ranked the best Airline in North America. Let your career take flight by joining our diverse and vibrant team at the leading edge of passenger aviation. The Analyst, Artificial Intelligence will drive and support the evolution of the use of Artificial Intelligence solutions within the organization to satisfy the needs of agility and strategic business growth. They will implement data/machine learning models and associated data pipelines that enable Stakeholders to analyze and develop strategic insights that can help make effective decisions and drive growth of the organization.Design, undertake and analyze data to determine patterns and insights that can optimize data ingestion and data presentation. Support the delivery of AI projects in designing and implementing the data pipelines/data streaming.Implement AI models in accordance with project requirements and AI data engineering standardsDevelop and implement datasets and databases with machine learning tools to solve real time business problemsEducate the organization both from IT (including vendors) and the business perspectives on data ingestion and data streaming tools, processes and best practices.Support the maturation of AI platforms, modules, and services that address cross-enterprise opportunities through market research and proof-of-concepts.Establish strong relationship with vendor partners to ensure strong delivery, innovation and ongoing improvement in receiving high value services. Develop, construct, test and maintain architectures, such as databases and large-scale processing systems Ensure architecture will support the requirements of the data scientists, the stakeholders, and the business.Discover opportunities to acquire new data from other systems Develop and improve data set processes for data modeling, mining, and production. Employ a variety of languages and tools to marry systems togetherRecommend and implement ways to improve data reliability, efficiency, and quality. Collaborate with stakeholders including the Product owner, data science, and design teams to assist with data-related technical issues and support their data infrastructure needs.Create data tools for analytics and data scientist team members that assist them in building and optimizing the products that help business achieving their goals.Work with data and analytics experts to strive for greater functionality in data systems.Provide technology or services ownership direction on all matters related to a key functional area – to associated functional lead and peersProvide technology specific financial inputs related to both data engineering tool set costs and monthly data consumption costs.Responsible for working with stakeholders related to a key functional area to ensure synergistic collaboration and attain shared goalsResponsible for ensuring consistency of data engineering tools and processes across projects/products."Participate in Management and Operational Committees according to cadence, as requiredProvide business and technical inputs to Business Governance and Operational Management Committees, as appropriate"Responsible for handling high amount of technology complexity and drive autonomous decision making, as it relates to adoption of technology best practicesResponsible to drive technology vision and continuous improvement objectives for a functional areaDemonstrate significant technical depth to handle strategic technology prioritiesQualifications 3-5 years of IT experience with a minimum of 1 year working with Machine Learning and Cloud technology such as Microsoft Azure. + A proven track record in deploying AI models using best-in-class MLOP's toolsets to monitor Model performance and make the necessary adjustments as required to optimize performance.Certifications in Machine Learning, Deep Learning are an assetA relevant University degree/technical certification, and/or relevant experience commensurate to the roleAdaptability and Flexibility - The ability to keep functioning effectively when under pressure and/or experiencing rapidly changing or uncertain conditions, and to maintain self-control in the face of hostility or provocation. Openness to different and new ways of doing things; willingness to modify one’s preferred way of doing thingsAccountability and Credibility - Takes responsibility for the results and future direction of the organization. Demonstrated concern that one be perceived as responsible, reliable, and trustworthyCustomer Orientation - Demonstrated concern for satisfying one’s external and/or internal customersResults Orientation - Focusing on the desired end result of one’s own or one’s unit's work; setting challenging goals, focusing effort on the goals, and meeting or exceeding themForward Thinking - Anticipating the implications and consequences of situations and taking appropriate action to be prepared for possible contingenciesFostering Teamwork - As a team member, the ability and desire to work cooperatively with others on a team. As a team leader, interest, skill, and success in getting groups to learn to work together cooperativelyAnalytical Thinking - Approaching a problem by using a logical, systematic, sequential approachInterpersonal Effectiveness - The ability to notice, interpret, and anticipate others’ concerns and feelings, and to communicate this awareness empathetically to others Conditions of Employment:Candidates must be eligible to work in the country of interest, at the time any offer of employment is made and seeking any required work permits/visas or other authorizations which may be required is the sole responsibility of the candidates applying for this position.Mandatory Covid-19 Vaccination Required as of October 31st, 2021 Linguistic RequirementsBased on equal qualifications, preference will be given to bilingual candidates. Diversity and Inclusion Air Canada is strongly committed to Diversity and Inclusion and aims to create a healthy, accessible and rewarding work environment which highlights employees’ unique contributions to our company’s success. As an equal opportunity employer, we welcome applications from all to help us build a diverse workforce which reflects the diversity of our customers, and communities, in which we live and serve.Air Canada thanks all candidates for their interest; however only those selected to continue in the process will be contacted.