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Muttdata

Machine Learning Engineer — Databricks

Original listing title: Machine Learning Engineer Databricks - Mexico

Machine Learning Engineering
MexicoFull RemoteRemote - Latam

About this 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! 🌍
    • AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
    • In-Company English Lessons.
    • Birthday off + an extra vacation week (Mutt Week! 🏖️)
    • Referral bonuses – help us grow the team & get rewarded!
    • Maslow: Monthly credits to spend in our benefits marketplace.
    • ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team.
    • 👶 Monthly Childcare Reimbursement  – Because supporting families matters too

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