Machine Learning Engineer Databricks - Latam

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

At the company, 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