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Drive product strategy for open-source software at Canonical, collaborating with global teams to deliver Ubuntu and related solutions across AI, cloud, IoT, and enterprise markets.
Design and deploy AI/ML infrastructures and MLOps solutions on Ubuntu, Kubernetes, and cloud platforms for global enterprises, using open-source tools like Kubeflow and MLFlow.
Drive open-source product strategy at Canonical, shaping Ubuntu and adjacent offerings across AI, cloud, IoT, and enterprise verticals while collaborating with global teams.
Build and maintain open-source data, workflow, and AI/ML solutions using Python, Kubernetes, and tools like Kubeflow and Airflow for global cloud and on-prem deployments.
This is an opportunity to run a field engineering team, helping customers understand and implement Canonical's open source solutions in public clouds and in their own data centers. We work across the entire…
Solutions Architect designs and pitches open-source Linux-based solutions for automotive clients, integrating Ubuntu, embedded Linux, and cloud tech to enable Software Defined Vehicles.
Drive product strategy for open-source software at Canonical, collaborating with engineering and marketing to deliver Ubuntu and related solutions across cloud, AI, IoT, and enterprise markets.
Join as a Gen AI Solutions Engineer — Premier Cloud Job Type: Full-time Travel: Up to 30% (customer sites, Google offices, industry events) Salary Range: $125,000 – $200,000 CAD per year. Actual base salary is based on…
Senior Scientist applies machine learning and molecular modeling to design and optimize antibody therapeutics for cancer and immune diseases using protein data and advanced AI methods.
Build and deploy AI/ML models for network anomaly detection, root-cause analysis, and event correlation using GNNs, LLMs, and MLOps pipelines.
Senior AI Data Scientist designs, builds, and deploys enterprise-scale AI/ML solutions including LLMs, RAG, and predictive models using Python and MLOps practices.
Build and deploy AI systems in Toronto, focusing on LLMs, agentic systems, and retrieval architectures with modern MLOps on a major cloud platform.
Build and maintain enterprise-scale Azure ML platforms, automating model deployment and monitoring for production use.
Build and deploy LLM-powered tools, RAG systems, and agentic workflows for autonomous aircraft systems, focusing on retrieval quality, tool integrations, and production-grade AI infrastructure on Kubernetes.
Product Manager, Data Platform POSITION DETAILS Department: Product Location: Remote, US Employment: Full-time Travel: None ABOUT VIBRANT PLANET We are a team of leaders in fire science, applied science, forestry,…
Build and maintain data pipelines, integrate data for analytics, and automate ML training/scoring using Snowflake, Python, and MLOps.
Build and deploy ML models for insurance use cases like customer churn and lifetime value using Python, Snowflake SQL, and MLOps in a fast-paced data team.
Who we are At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. Our platform integrates a streamlined model development…
Principal ML Engineer builds next-gen foundation models from petabyte-scale telematics data to assess driver risk, detect crashes, and improve road safety using transformers and self-supervised learning.
Design and implement enterprise-scale data architectures and generative AI solutions, leading teams to build cloud-native lakehouses, real-time pipelines, and autonomous AI systems for Fortune 2000 clients.
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