Generative Ai Platform Engineer Cn
Canadian National Inc.
Shape CN’s enterprise AI platforms with Vertex AI, Gemini Enterprise, Databricks, and production-focused engineering in a hybrid work model.This AI engineering position delivers secure, governed, and scalable AI applications across CN’s data, analytics, automation, and agentic capabilities. You will work with cloud AI and data platforms, machine learning, generative AI, and software engineering practices. Collaboration spans architects, platform engineers, data specialists, cybersecurity, governance, business partners, and vendors.Key Responsibilities:
Contribute to Databricks, Vertex AI, Gemini Enterprise, and related platformsDevelop data pipelines, interfaces, and services for AI applicationsOptimize integrations across enterprise workflows and operational processesSupport deployment, monitoring, troubleshooting, and quality evaluationDocument designs, limitations, decisions, and operational requirementsRequirements:
Two to five years in software, data, machine learning, or AI engineeringExperience with Google Cloud Platform or comparable AI platformsKnowledge of Spark, PySpark, Delta Lake, Unity Catalog, or MLflowExperience with observability, red-teaming, safety, and hallucination mitigationDegree in computer science, engineering, data science, or related fieldBring cloud AI platforms, data engineering, and production operations experience to CN’s enterprise artificial intelligence delivery.
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Contribute to Databricks, Vertex AI, Gemini Enterprise, and related platformsDevelop data pipelines, interfaces, and services for AI applicationsOptimize integrations across enterprise workflows and operational processesSupport deployment, monitoring, troubleshooting, and quality evaluationDocument designs, limitations, decisions, and operational requirementsRequirements:
Two to five years in software, data, machine learning, or AI engineeringExperience with Google Cloud Platform or comparable AI platformsKnowledge of Spark, PySpark, Delta Lake, Unity Catalog, or MLflowExperience with observability, red-teaming, safety, and hallucination mitigationDegree in computer science, engineering, data science, or related fieldBring cloud AI platforms, data engineering, and production operations experience to CN’s enterprise artificial intelligence delivery.
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Vacancy posted 28 minutes ago
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