MLOps Platform Developer job in Canada CAD103000-171800/year
Job Description
Title
MLOps Platform Developer job in Canada.
Line of Service AdvisoryIndustry/Sector Not ApplicableSpecialism Technology StrategyManagement Level Manager
Job Description & Summary
A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics.
We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology.
We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.As part of our Data Science and Machine Learning team, you will design, build, and optimize systems for data collection, storage, access, and analytics at scale.
This includes Machine Learning, Deep Learning, and Artificial Intelligence Model Design and Construction, responsible for developing, programming and training the complex networks of algorithms that make up Machine Learning, Deep Learning, and Artificial Intelligence to develop applications and systems.
You will work on client engagements related to research and development across a wide range of domains including understanding and improving Machine Learning, Deep Learning, and Artificial Intelligence, addressing bias and fairness in algorithms, embodied and interactive solutions on GCP, Azure and AWS.
We are seeking a highly skilled MLOps Platform Developer with extensive experience working with Vertex AI and Kubeflow pipelines. The ideal candidate will be responsible for designing, developing, and providing guidance on MLOps platforms for our clients, ensuring seamless integration and efficient operation of their machine learning models across their environments and teams.
Meaningful work you’ll be part of As a MLOps Platform Developer, you’ll work as part of a team of problem solvers, helping to solve business issues, deliver high quality client service and operational efficiency.
Responsibilities include but are not limited to:
Design, develop, and troubleshoot MLOps infrastructure to support the deployment, monitoring, and management of machine learning and statistical models. Implement and manage Vertex AI and Kubeflow pipelines to automate model training, validation, and deployment processes. Collaborate with data scientists, software engineers, and DevOps teams to integrate machine learning workflows into the broader technology ecosystem. Optimize and troubleshoot machine learning pipelines to ensure high performance and reliability in production environments. Develop and maintain documentation for MLOps processes, tools, and best practices.
Provide recommendations and implement solutions for model monitoring and alerting (training-serving skew, drift detections, performance issues, etc.).Stay up-to-date with the latest industry trends and technologies in MLOps and machine learning, especially as it pertains to Vertex AI. Experiences and skills you’ll use to solve Proven experience as an MLOps Engineer or ML Platform Developer.Strong proficiency with Vertex AI and Kubeflow pipelines.Bachelor’s or master’s degree in computer science, Engineering, or a related field.
Required Skills Optional Skills
Desired Languages (If blank, desired languages not specified)Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? We’re committed to creating an equitable and inclusive community of solvers where everyone feels that they truly belong.
We’re committed to providing accommodations throughout the application, interview, and employment process. If you require an accommodation to be at your best, please let us know during the application process. To learn more about inclusion and diversity at PwC Canada: https://www.pwc.com/ca/en/about-us/diversity-inclusion.html.
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