Machine Learning Engineer Databricks - Mexico

About the role

🚀 Join Our Remote Data Products & Machine Learning Startup! 🚀

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 to join our team and work on high-impact projects for a major multinational beverage company based in Mexico 🐶🚀.

🚀 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.

Required Skills 💻 - Proven experience orchestrating data/ML pipelines on Databricks (Jobs, Workflows, cluster policies).

- Solid CI/CD experience (Azure DevOps, gitflow, PRs), IaC with DABs, and code quality standards (black, isort, mypy).

- Advanced Python, SQL, Delta / Unity Catalog.

🎁 Perks - Remote-first culture – work from anywhere! 🌍