# MLOps Projects at AI Tinkerers
> Canonical HTML: https://aitinkerers.org/technologies/mlops
> Markdown URL: https://aitinkerers.org/technologies/mlops.md
> Technology record last updated: 2026-02-23T11:01:33Z
> Generated: 2026-09-22T08:49:41Z
MLOps unifies ML development (Dev) with system operations (Ops), creating automated, production-grade pipelines for machine learning models.
MLOps (Machine Learning Operations) is the engineering discipline that applies DevOps principles to the ML lifecycle: it’s how we move models from experiment to enterprise scale. We implement CI/CD/CT (Continuous Integration, Delivery, and Training) to automate the entire workflow, from data validation to model deployment and continuous monitoring (CM). This approach ensures models—like a fraud detection classifier or a recommendation engine—are reproducible, versioned, and automatically retrained when performance degrades (model drift). Using platforms like Kubeflow or AWS SageMaker, MLOps reduces deployment time from months to minutes, minimizing technical debt and maintaining high-velocity production reliability.
- Official technology site: https://cloud.google.com/architecture/mlops-continuous-delivery-and-automation-pipelines-in-machine-learning
- Public AI Tinkerers demos and talks: 5
- Result page: 1 of 1
## Recent Public Talks and Demos
### [Asset Management & AI: tech enablers, pre-requisites and examples of things that will grow](https://milan.aitinkerers.org/talks/rsvp_KVbq3zuxqvk)
In Generali Asset Management we have a series of live AI models in Asset management that are generating Alpha (investment returns) for clients and shareholders. These are advanced in terms of AI technology and advanced in terms of Asset Management usage. The talk will give a quick overview of the technology and then explore what are the pre requisites for this technology to work and then finally what I think will be coming next.
- Event context: AI Tinkerers Milan - February 24, 2026 - Agentic Orchestration in Financial Services: Architectures & Demos — 2026-02-24 — Milan
- Public talk page: https://milan.aitinkerers.org/talks/rsvp_KVbq3zuxqvk
### [De transformación Digital para Minería a MLOps ¿Como nace un Platform as a Service?](https://santiago.aitinkerers.org/talks/rsvp_-Odk1MZIlbo)
En esta presentación se expondrá como nace un Platform as a Service enfocado en MLOps, y como desde un pequeño proyecto para minería permite aplicar IA de forma efectiva en una operación minera, para luego transformarse en una experiencia que hoy es un proyecto seleccionado por Startup Chile.
- Event context: 🚀 IA Generativa y Minería en LATAM Cap#4 — 2025-05-29 — Santiago
- Public talk page: https://santiago.aitinkerers.org/talks/rsvp_-Odk1MZIlbo
### [CRM AI Agent to handle and respond to customer emails](https://hamburg.aitinkerers.org/talks/rsvp_fVm5EXTsiAY)
Businesses receive a high volume of customer emails daily, ranging from product inquiries to technical support requests. Managing and responding to these efficiently requires significant human interaction and effort. This AI agent automates email management by classifying inquiries, retrieving relevant knowledge, and generating personalized responses. It intelligently decides whether to reply instantly, escalate the issue by creating a ticket, or provide troubleshooting guidance—ensuring faster response times and improved customer satisfaction. By leveraging LLMs, vector databases, and automation, this AI agent enhances email handling, reducing manual workload while maintaining high-quality customer interactions. Furthermore, I conducted this project as a learning exercise and proof of concept for an AI-driven CRM automation application.
- Event context: AI Tinkerers Hamburg #2 - February 20 — 2025-02-20 — Hamburg
- Public talk page: https://hamburg.aitinkerers.org/talks/rsvp_fVm5EXTsiAY
### [MLOps en Databricks.](https://medellin.aitinkerers.org/talks/rsvp_jUprB2Aj_iw)
La charla comprenderá conceptos fundamentales de MLOps, y concluirá con casos de uso y buenas prácticas, mostrando cómo Databricks mejora la productividad y la calidad en los flujos de trabajo de ciencia de datos
- Event context: AI Tinkerers Medellín #5 - DataKnow - 28 de Agosto — 2024-08-28 — Medellín
- Public talk page: https://medellin.aitinkerers.org/talks/rsvp_jUprB2Aj_iw
### [Analyzing and Searching Job Listings with LLMs](https://berlin.aitinkerers.org/talks/rsvp_B9L8TAIh32Y)
This started out as a weekend project to explore the capabilities of LLMs and associated techniques to analyze job listings from various platforms and create a natural language search engine to find the next dream job.
- Event context: AI Tinkerers Berlin - August 22 — 2024-08-22 — Berlin
- Public talk page: https://berlin.aitinkerers.org/talks/rsvp_B9L8TAIh32Y
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- [CI/CD pipelines](https://aitinkerers.org/technologies/ci-cd-pipelines) ([Markdown](https://aitinkerers.org/technologies/ci-cd-pipelines.md)) — 1 public demo
- [Cloud computing](https://aitinkerers.org/technologies/cloud-computing) ([Markdown](https://aitinkerers.org/technologies/cloud-computing.md)) — 3 public demos
- [Databricks](https://aitinkerers.org/technologies/databricks) ([Markdown](https://aitinkerers.org/technologies/databricks.md)) — 5 public demos
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