Machine Learning Engineer Databricks - Mexico
Summary
Machine Learning Engineer at Muttdata who builds and operates production ML/data pipelines on Databricks for a multinational beverage-company client in Mexico: orchestrating Databricks Jobs, promoting deployments via Asset Bundles, and managing model lifecycle in MLflow/Unity Catalog. Core stack: Databricks, Python, SQL, Delta, Azure DevOps CI/CD.
🚀 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
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
Skills
As published by lever · 12 questions · 6 written answers
Basics
Resume/CV, Full name, Email, Phone, Current location, Current company, LinkedIn URL, GitHub URL, Other URL
Short answers (1)
- Study/Degree optional
Pick from a list (5)
- Where did you hear about us? optional
- Do you have work experience with any of these tools? optional
- English Level optional
- Seniority optional
- Working mode
Written answers (6)
- Do you currently reside in Mexico? (This is a mandatory requirement for this role. If you do not currently reside in Mexico, your application will not be considered.)
- Describe about your relevant experience in the role
- Have you ever worked with Databricks, particularly in data engineering, data analytics, or building and managing data pipelines?
- Do you have any of these certifications (Databricks, Azure, AWS, Astronomer, GCP)? If so, are they still active?
- What is your level of experience in designing and implementing cloud solutions? Did your cloud solutions involve developing new components or were they based on utilizing products from AWS/GCP/Databricks/DBT?
- Salary expectations (USD)