Model Deployment Jobs

We are looking for an experienced Microsoft 365 and Intune freelancer to help us troubleshoot and manage application deployments. Our devices are enrolled through Microsoft Intune (work/school account enrolment), where users receive company policies, applications, and configurations automatically. While most policies are working correctly, we're experiencing issues with deploying some applications. The applications include: Sentinel One EDR Qualys Nord Pass Fathom (and similar applications) We need someone who can: Package applications into .intunewin format. Create and configure Win32 app deployments. Configure detection rules, requirement rules, and return codes. Create or modify installation and uninstallation scripts (PowerShell/Batch if required). Troubleshoot failed install...

I’m building a prototype that relies on Hugging Face’s models, and I need a clear, recorded walkthrough that shows—step by step—how to take a pre-trained model and put it into production. The focus is deployment, not training, so please cover the process from selecting a model on the Hub through exposing it as an accessible API via Hugging Face Inference Endpoints or Spaces. Because I learn best by doing, the core of the tutorial should be an interactive demo: a live notebook or lightweight web app that I can spin up, tweak, and extend. As you record the session, narrate what you’re doing and why—showing the essential commands, environment setup, and any common pitfalls. By the end, I should be able to hit an endpoint from a simple front-end snippet a...

I’m moving the Dynamo initiative at Handshake AI into its next phase and I need a seasoned Python developer to write production-ready machine-learning algorithms that slot straight into our existing codebase. The heavy lifting is pure code development—no data wrangling or system plumbing—so I expect clean, well-documented Python modules that import neatly and respect our current project structure. You’ll work against the latest commit in our private Git repo, build out the ML logic we’ve specced (classification and ranking models to start), and deliver passing unit tests so the CI pipeline stays green. Feel free to lean on scikit-learn, PyTorch, or TensorFlow if they keep things elegant and maintainable; the end goal is fast, accurate models that can be calle...