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Engineering Manager - MLOps & Analytics
Lead a global team of engineers to build and maintain MLOps and analytics infrastructure using Kubeflow, MLFlow, and Feast, while mentoring engineers and driving team productivity.
Junior Product Manager
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.
MLOps Field Engineer
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.
Product Manager
Drive open-source product strategy at Canonical, shaping Ubuntu and adjacent offerings across AI, cloud, IoT, and enterprise verticals while collaborating with global teams.
Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics
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.
Technical Product Manager
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.




Senior Data Scientist
Build and deploy data-driven models to forecast usage, analyze product behavior, and guide business decisions using Python, SQL, and Spark on Databricks' AI platform.




Senior Staff Applied AI Engineer - Context Retrieval
Senior Staff Applied AI Engineer at Databricks builds and owns the retrieval stack and search subagents for AI agents, enabling context retrieval across enterprise SaaS data using IR, RAG, and agentic systems.




Staff Backline Engineer – ML/AI
Senior engineer troubleshooting and optimizing Databricks' large-scale data and AI infrastructure, resolving complex system failures and improving platform reliability using Spark, Delta Lake, and distributed ML tools.