Job Description
Permanent Full Time -Role description Are you an AI and Machine Learning professional with focus on platform administration and support and strong Leadership and Communication skills looking for a challenging and rewarding opportunity? Canada Data Team is looking for a Machine Learning Platform Engineering Specialist to join our team. The Machine Learning Platform Engineering Specialist is responsible for providing AI and ML platform and tool solutions to support business needs at Canada Life. Leveraging your Artificial Intelligence (AI) and Machine Learning (ML) technical subject matter expertise, you will have the exciting opportunity to design, adapt, and maintain the ML and AI platform solutions within a cloud environment. You will navigate and reconcile considerations for immediate and future platform needs, encompassing but not limited to scalability, maintainability, performance, accuracy, reliability, security, compliance, cost, and robustness, even in situations where the requirements may be unclear or evolving. Youll collaborate cross-functionally with the AI Product Owner as well as software and machine learning developers, data platform engineers, quality assurance, governance & support experts in Toronto and other offices. In this role, you will be part of an on-call rotation in order to service our customers.What you will doDesign and build highly scalable machine learning and AI platform solutions within a cloud environment.Partner with our internal customers to understand their ML development pain points and craft platform solutions to address them.Support the effort to build and enhance MLOPs services, including platform monitoring, platform, and deployment support for the respective pipelines for data delivery.Connectivity enablement for relevant models and their data sources.Deliver appropriate ML Resource Access Permissions for respective use cases.Provide technical mentorship to data platform engineers and interns on the team.Help shape the long-term strategy and grow the team.What you will bringA University or College education in Computer Science, Computer Engineering or a related field or equivalent combination of education and experience5+ years of experience building production machine learning systems or platform components such as feature store, model training framework, ML prediction service etc.Strong coding skills in PythonStrong understanding of engineering and infrastructure best practices, general software development principles with a machine learning software development life-cycle orientationStrong experience on Azure Machine Learning and AWS SageMaker, Azure Data Factory, Databricks administration and GitLab.Experience managing the entire machine learning lifecycle.Desirable experience on Azure Cognitive Services and AWS Rekognition.Strong communication skills with an ability to motivate.Customer focus and strong relationship management skillsAbility to quickly adapt to changing priorities and working within ambiguous situations.Effective time management, prioritization, and decision-making skillsReliability Status security clearance - this is a personnel security status that is required before an employee can gain access to Protected B information, assets or work sites as outlined by the website Given the size and scope of our organization, we have the flexibility for this position to be located in the following head office locations: Toronto, and London. - The base salary for this position is between $61,900.00 - $114,500.00 annually. This represents base salary only and does not represent other variable compensation components of our total compensation ( i.e. annual bonus, commission etc). If you are selected to move forward in our recruitment process, your recruiter will be able to discuss additional details of our total rewards program with you. Career opportunities will be open a minimum of 5 business days from the date of posting, closing dates will vary depending on the search activity. All applications received will be reviewed on a rolling basis. Be your best at Canada Life- Apply today! Being a part of Canada Life means you have a voice. This is a place where your unique background, perspectives and talents are valued, and shape our future success. You can be your best here. Youre part of a diverse and inclusive workplace where your career and well-being are championed. Youll have the opportunity to excel in your way, finding new and better ways to deliver exceptional customer and advisor experiences. Together, as part of a great team, youll deliver on our shared purpose to improve the well-being of Canadians. Its our driving force. Become part of a strong and successful company thats trusted by millions of Canadians to do the right thing. Canada Life serves the financial security needs of more than 13 million people across Canada, with additional operations in Europe and the United States. As members of the Power Financial Corporation group of companies, were one of Canadas leading insurers with interests in life insurance, health insurance, investment and retirement savings. We offer a broad portfolio of financial and benefit plan solutions for individuals, families, businesses and organizations. We are committed to providing an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of the communities in which we live, and to creating an environment where every employee has the opportunity to reach their potential. It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Canada Life policies. To request a reasonable accommodation in the application process, contact talentacquisitioncanada@canadalife.com. Canada Life would like to thank all applicants, however only those who qualify for an interview will be contacted. #LI-Hybrid Requisition ID: 609 Category: Digital TechnologyLocation: Toronto, ON Winnipeg, MB London, ON Date: May 28, 2024 If you are not finding suitable opportunities now, please click below to join our talent community!