At Muttdata, we build innovative Data Products and Machine Learning solutions that help companies solve complex business challenges. As a fast-growing, remote-first startup, we're passionate about technology, collaboration, and continuous learning.
This opportunity is with a leading multinational beverage company based in Mexico City.
We are looking for a Machine Learning Engineer Senior to join our team 🐶🚀. You'll own the deployment, job configuration, and end-to-end operation of our AI Factory products, making sure the full pipeline — from data generation to publishing results to operations — runs reliably, observably, and scalably across countries.
This role works closely with development squads and platform teams, diagnosing runtime incidents and keeping production pipelines healthy across environments. Strong ownership, operational rigor, and end-to-end product knowledge are essential to succeed in this fast-paced, collaborative environment.
🚀 What We Do
Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.
Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client.
Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.
Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.
Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval.
Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions.
🌟 Our Partnerships
Amazon Web Services
Astronomer
Databricks
🌟 Our Values
📊 We are Data Nerds
🤗 We are Open Team Players
🚀 We Take Ownership
🌟 We Have a Positive Mindset
🔍 Curious about what we’re up to? Check out our case studies and dive into our blog post to learn more about our culture and the exciting projects we’re working on! 🚀
Responsibilities 🤓
Orchestrate production pipelines on Databricks Jobs, chaining tasks via depends_on and managing failure modes (ALL_SUCCESS / ALL_DONE)
Configure and maintain deployments via Databricks Asset Bundles (DABs), promoting across dev → qa → prd targets, with resource/deployment files per country.
Manage the lifecycle of models and artifacts in MLflow + Unity Catalog (registration, versioning, Champion/Challenger aliases, rollback).
Ensure operational continuity: manage compute across workspaces, standardize cost-monitoring tags (FinOps), and integrate with AIOps/observability.
Master the product end-to-end to diagnose runtime incidents and coordinate with development squads.
Questi cookie sono necessari per il funzionamento del sito e non possono essere disattivati nei nostri sistemi. È possibile impostare il proprio browser in modo da bloccare questi cookie, ma alcune parti del sito potrebbero non funzionare.
Sicurezza
Esperienza dell'utente
Cookie orientati al gruppo target
Questi cookie sono impostati attraverso il nostro sito web dai nostri partner pubblicitari. Possono essere utilizzati da queste aziende per profilare i vostri interessi e mostrarvi pubblicità pertinenti altrove.
Google Analytics
Google Ads
Utilizziamo i cookie
🍪
Il nostro sito web utilizza i cookie e tecnologie simili per personalizzare i contenuti, ottimizzare l'esperienza dell'utente e per indvidualizzare e valutare la pubblicità. Facendo clic su Ok o attivando un'opzione nelle impostazioni dei cookie, l'utente accetta questo.
Le migliori offerte di lavoro da remoto via e-mail
Unisciti alle oltre 5'000+ persone che ricevono notifiche settimanali sulle offerte di lavoro da remoto!
