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Muttdata

#3 - Senior Machine Learning Engineer - Databricks

Posted a day ago
5-10 years experience
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AI Summary

Orchestrate and deploy production machine learning pipelines on Databricks, managing cross-environment and country-specific deployments, model lifecycles, compute, and cost monitoring. Maintain reliable operations by diagnosing runtime incidents, improving observability, and coordinating with development and platform teams.

πŸš€ Join Our Remote Data Products & Machine Learning Startup! πŸš€

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 πŸΆπŸš€. You'll own the deployment, job configuration, and end-to-end operation of our AI Factory products, making sure the full pipeline β€” from data generation to publishing results to operations β€” 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.

 

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πŸš€ 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
  • πŸ“Š We are Data Nerds
  • πŸ€— We are Open Team Players
  • πŸš€ We Take Ownership
  • 🌟 We Have a Positive Mindset
 
πŸ” 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! πŸš€


Responsibilities πŸ€“
  • 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 β†’ qa β†’ 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 πŸš€
  • 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.


Nice to Have πŸ˜‰
  • Experience working with Large Language Models (LLMs).
  • Knowledge of AI agents and agentic systems.
  • Familiarity with MLOps practices and tools.
  • Experience deploying and maintaining Data Science and AI solutions in production environments.
  • Knowledge of job orchestration, computing infrastructure, deployments, monitoring, and maintenance.
  • Experience working with event data, user tracking, and application tagging.
  • Ability to collaborate effectively with Product, Engineering, and Business teams.


🎁 Perks
  • Remote-first culture – work from anywhere! 🌍
  • AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
  • Birthday off + an extra vacation week (Mutt Week! πŸ–οΈ)
  • 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!


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