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Fyld is hiring: Machine Learning Engineer At Fyld, we believe the future is built with people, technology, and strong values. We are a Portuguese consulting company that operates with transparency, respect, and a focus…
Build and maintain ML engineering platforms and pipelines, deploy models to cloud instances, and collaborate with data scientists to optimize workflows using tools like Kubeflow, MLFlow, and Kubernetes.
Builds and maintains robust LLM-based AI agents and RAG pipelines, designs multi-step reasoning workflows, and implements quality evaluation frameworks to ensure reliable, production-grade AI systems.
Build and maintain the Kubernetes-based infrastructure and MLOps tooling that trains, validates, and deploys AI models for Intuitive Surgical’s medical devices, ensuring reproducible workflows and GPU cluster health.
Build and lead ML infrastructure for voice/GenAI at scale, enabling teams to ship AI-powered features while democratizing ML tooling for developers.
Lead AI-driven transformation for global manufacturing and supply operations, deploying agentic systems and LLMs to optimize processes and KPIs across Opella’s network.
Design and deploy enterprise AI solutions on Red Hat OpenShift AI, including GenAI, agentic AI, and MLOps workflows, while advising customers and leading project teams.
Field engineer helping global partners (OEMs, cloud providers, integrators) adopt Ubuntu, Kubernetes, OpenStack and open-source stacks; designs joint solutions and runs technical workshops worldwide.
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…
This is an opportunity to run a Professional Services team (also known as Field Engineering) team, helping customers understand and implement Canonical's open source solutions in public clouds and in their own data…
Design and validate cloud-native solutions (Kubernetes, OpenStack, AI/MLOps) for Canonical’s global partners, integrating Ubuntu and open-source stacks across public/private clouds.
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.
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.
Maintains and automates Ubuntu-based cloud infrastructure, Kubernetes clusters, and open-source tooling to ensure high availability and performance for enterprise customers.
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.
Lead Canonical’s global Telco Field Engineering team, designing and delivering open-source cloud solutions (Ubuntu, OpenStack, Kubernetes) for telecom customers and driving presales and delivery strategy.
