Chapter Manager, AI and Data Sciences
Canadian Tire Corporation based in Toronto, ON is inviting applications from suitable candidates for the position of Chapter Manager, AI and Data Sciences. Canadian Tire Corporation stands out as a dynamic force in retail, offering a diverse spectrum of products and services. From automotive essentials to sports, home, and leisure goods, Canadian Tire caters to a broad range of consumer needs. With Canadian Tire Bank in its portfolio, the company also excels in financial services. Canadian Tire enhances the customer experience. Its unwavering dedication to quality and customer satisfaction reinforces its status as a Canadian retail giant. The candidates selected for the vacancy will be required to start the work as soon as possible.
Job Description:
Employer Name: Canadian Tire Corporation
Position: Chapter Manager, AI and Data Sciences
No of Vacancies: 1
Salary: Salary is not mentioned, $15.00-$20.00 hourly estimated salary
Employment Type: Full time
Location: Toronto, ON, CA
Requisition ID/Job ID: JR133028
Requirements:
Languages: Candidates must have knowledge of the English Language
Education: Candidates need standard educational qualifications such as a Secondary (high) school graduation certificate or Intermediate or a Bachelor’s or Master’s degree or equivalent experience
Experience: Candidates should have 7+ years I.T. experience in progressive development, design, and management related positions
Other Requirements:
- The candidates should have 5+ years of experience deploying AI/ML-based solutions
- The candidates should have 3+ years of experience building big data solutions, including proficiency in Python, SQL, or similar technologies such as SAS, Hadoop, Spark, Hive, Pig, or R
- The candidates should have 3+ years of experience working in an Azure or similar environment
- The candidates should possess a deep understanding of statistical analysis and how to process large data sets
- The candidates should have experience working with unstructured data from disparate sources and using it to provide insightful research and insights
- The candidates should have strong experience working with Python and cloud services such as Azure Service Bus, Azure Blob Storage, Azure Data Factory, Azure Synapse, Azure OpenAI, and Databricks
- The candidates should have strong hands-on experience with building and deploying microservices and data pipelines using tooling such as Docker, Kubernetes, service mesh, and API Gateways
- The candidates should have experience interpreting and applying security best practices to create, harden, and secure infrastructure and applications
- The candidates should have an understanding of the cloud ecosystem and leading-edge emerging data & AI technologies
- The candidates should have an understanding of event-driven/reactive architectures and integrations
- The candidates should hold a degree in Computer Science or Engineering, or possess equivalent relevant experience
- The candidates should demonstrate excellent analytics, problem-solving, and solutioning skills
- The candidates should possess excellent communication and interpersonal skills
Responsibilities:
- The candidates should be able to lead efforts to design and build next generation capabilities in AI and Data Sciences
- The candidates should be able to drive adoption and rollout of AI driven solutions that accelerate productivity in software delivery and enhance customer experiences by leveraging data and Generative AI
- The candidates should be able to drive work in an uncertain environment, ensuring consensus and progress in emerging areas such as generative AI and its applications
- The candidates should be able to manage Python-based development and possess a strong understanding of the language and popular frameworks
- The candidates should be able to lead a team consisting of Python developers, including resource allocation, performance management, coaching, mentoring, and day-to-day support
- The candidates should be able to lead projects, set standards, coach, mentor, and encourage team members
- The candidates should be able to manage team priorities and delivery of business requirements through agile delivery (SAFe)
- The candidates should be able to demonstrate a strong understanding of Generative AI, including prompt engineering and model selection
- The candidates should be able to tune models effectively, which is considered a strong asset
- The candidates should be able to drive investigation and adoption of new and emerging AI/ML capabilities
- The candidates should be able to define patterns around data pipelines and storage to encourage re-use within the team
- The candidates should be able to enforce clean code and excellent engineering practices as part of managing a team of developers
- The candidates should be able to work with the SRE team to ensure cloud-based solutions provide sufficient telemetry to support SLAs and operations
- The candidates should be able to lead the technical design of Data & AI related solutions and collaborate with the architecture team
- The candidates should be able to modernize engineering practices and drive continual improvements in ways of working
- The candidates should be able to partner with multiple technical and business stakeholders, providing technical expertise for Data and AI related issues
- The candidates should be able to provide hands-on-keyboard support to the team where required
Benefits:
- The candidates will get store discounts
- The candidates will get supported learning through our Triangle Learning Academy
- The candidates will get Canadian Tire Profit Sharing
- The candidates will get retirement and savings programs
- The candidates will get mental health benefits in the amount of $5,000 per year
How to apply:
If the position is fit for you and the basic requirements are fulfilled then you can now apply directly to the employer (along with your resume) through the below-mentioned details.
We thank all the applicants for showing their interest and trust in us, however, only the most eligible candidates will be selected and conducted for further procedure directly from employers, in between no charges/fees or original documents will be asked from any applicant. All the best!