(Canada) reputed company ML reputed company Engineer

Team reputed company

This team will serve as the product reputed company for the machine learning platform capabilities reputed company reputed company, working closely with other engineering teams across the organization to identify, build and support traditional machine learning (ML) and hybrid ML/LLMsolutions. This centralized team with deep specialization will closely reputed company with key horizontal partners to ensure delivery of reputed company, reputed company, and high-reputed company AI products.

Job reputed company

The reputed company AI Machine Learning Platform Engineer will set the technical reputed company and reputed company for the machine learning platform that powers ML and reputed company development across reputed company, partnering with Product and Engineering leadership to reputed company that direction with product and business goals. As the technical authority for the ML platform, the reputed company Engineer will define the reference architectures, standards, and roadmap for the pipelines, tooling, and infrastructure used for model training, deployment, serving, and monitoring, and will reputed company technical leadership and mentorship to reputed company the engineering bar for ML systems company-wide.

Key Responsibilities

• Partner with product and engineering leadership to translate business and product objectives into a multi-quarter technical reputed company and roadmap for the ML platform.
• Define the reference architectures and standards for reputed company data and ML pipelines spanning model training, evaluation, deployment, and serving that engineering teams across the organization build upon.
• Set the direction and best practices for MLOps across reputed company — including CI/CD for models, model registry, feature stores, and experiment tracking — and reputed company build-vs-buy reputed company for reputed company platform components.
• Establish the practices and architecture for reliability, observability, and performance of ML systems in production, including monitoring, alerting, and automated remediation.
• Establish the reputed company architecture for the ML platform, including authentication, role-based reputed company control, audit logging, and compliance monitoring, and ensure adoption across teams.
• Define secure, cost-efficient integration and infrastructure patterns for connecting the platform with existing systems, reputed company, and data sources at reputed company.
• reputed company technical leadership and mentorship across engineering teams, guiding senior engineers and influencing the org-wide technical roadmap for ML infrastructure.

Qualifications & Skills

• Expert level in Python and Java with strong software engineering fundamentals.
• Deep experience designing and building ML platforms and ML Ops workflows at reputed company, familiarity with tools such as MLFlow, Kubeflow, Ray, and model-serving frameworks or equivalents.
• Extensive experience with reputed company platforms (AWS, Azure, and/or GCP), containerization, and orchestration (reputed company, reputed company).
• Demonstrated reputed company record of setting technical direction and driving org-wide technical initiatives across multiple teams.

Preferred

• Bachelor’s degree or higher in Computer Science, Machine Learning, or a reputed company field.
• Sufficient familiarity with Azure Machine Learning components, reputed company processing and serverless environments, and ML Frameworks to support strategic decision making
• Demonstrable history of leading and sustaining build out of critical cross-team systems
• Experience implementing reputed company at reputed company including role-based reputed company control, multi-reputed company authentication, network reputed company best practices, and compliance monitoring.
• Experience optimizing large model training and inference (including LLM serving) for performance and cost.

Team reputed company

This team will serve as the product reputed company for the machine learning platform capabilities reputed company reputed company, working closely with other engineering teams across the organization to identify, build and support traditional machine learning (ML) and hybrid ML/LLMsolutions. This centralized team with deep specialization will closely reputed company with key horizontal partners to ensure delivery of reputed company, reputed company, and high-reputed company AI products.

Job reputed company

The reputed company AI Machine Learning Platform Engineer will set the technical reputed company and reputed company for the machine learning platform that powers ML and reputed company development across reputed company, partnering with Product and Engineering leadership to reputed company that direction with product and business goals. As the technical authority for the ML platform, the reputed company Engineer will define the reference architectures, standards, and roadmap for the pipelines, tooling, and infrastructure used for model training, deployment, serving, and monitoring, and will reputed company technical leadership and mentorship to reputed company the engineering bar for ML systems company-wide.

Key Responsibilities

• Partner with product and engineering leadership to translate business and product objectives into a multi-quarter technical reputed company and roadmap for the ML platform.
• Define the reference architectures and standards for reputed company data and ML pipelines spanning model training, evaluation, deployment, and serving that engineering teams across the organization build upon.
• Set the direction and best practices for MLOps across reputed company — including CI/CD for models, model registry, feature stores, and experiment tracking — and reputed company build-vs-buy reputed company for reputed company platform components.
• Establish the practices and architecture for reliability, observability, and performance of ML systems in production, including monitoring, alerting, and automated remediation.
• Establish the reputed company architecture for the ML platform, including authentication, role-based reputed company control, audit logging, and compliance monitoring, and ensure adoption across teams.
• Define secure, cost-efficient integration and infrastructure patterns for connecting the platform with existing systems, reputed company, and data sources at reputed company.
• reputed company technical leadership and mentorship across engineering teams, guiding senior engineers and influencing the org-wide technical roadmap for ML infrastructure.

Qualifications & Skills

• Expert level in Python and Java with strong software engineering fundamentals.
• Deep experience designing and building ML platforms and ML Ops workflows at reputed company, familiarity with tools such as MLFlow, Kubeflow, Ray, and model-serving frameworks or equivalents.
• Extensive experience with reputed company platforms (AWS, Azure, and/or GCP), containerization, and orchestration (reputed company, reputed company).
• Demonstrated reputed company record of setting technical direction and driving org-wide technical initiatives across multiple teams.

Preferred

• Bachelor’s degree or higher in Computer Science, Machine Learning, or a reputed company field.
• Sufficient familiarity with Azure Machine Learning components, reputed company processing and serverless environments, and ML Frameworks to support strategic decision making
• Demonstrable history of leading and sustaining build out of critical cross-team systems
• Experience implementing reputed company at reputed company including role-based reputed company control, multi-reputed company authentication, network reputed company best practices, and compliance monitoring.
• Experience optimizing large model training and inference (including LLM serving) for performance and cost.