Senior Machine Learning Engineer - Databricks - #1

Posted One Month Ago
Be an Early Applicant
Hiring Remotely in ARG
Remote
Senior level
Artificial Intelligence • Information Technology • Machine Learning
The Role
Industrialize, deploy, monitor, and scale machine learning models in production. Design training, inference, and retraining pipelines; build CI/CD workflows; manage MLflow tracking, registries, versioning, and governance; develop scalable model-serving APIs; orchestrate Databricks workflows; and containerize applications with Docker for Kubernetes deployment. Collaborate with data scientists, data engineers, and stakeholders to establish reliable MLOps architecture and operational practices.
Summary Generated by Built In

🚀 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 Senior to join our team 🐶🚀. You'll own the deployment, job configuration, and end-to-end operation of our AI Factory products, making sure the full pipeline — from data generation to publishing results to operations — 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.

 

🚀 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.


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Nice to Have Skills 😉

  • Experience with multi-country schemas, drift/cost monitoring, and deployment automation.
  • Experience developing AI agents / agentic infrastructure (e.g. Mosaic AI Agent Framework, agent orchestration, MCP).

🎁 Perks

  • Remote-first culture – work from anywhere! 🌍
  • AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
  • 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!

Skills Required

  • Advanced Python and SQL skills
  • Experience with Spark or PySpark
  • Solid experience with CI/CD pipelines and Git
  • Experience with MLflow tracking, registry, and deployment
  • Experience with Docker and working knowledge of Kubernetes concepts
  • Experience with Azure Cloud
  • Experience implementing model monitoring and observability practices
  • Strong understanding of MLOps and machine learning architecture principles
  • Experience deploying machine learning models to production at scale
  • Hands-on experience with Databricks Workflows, Jobs, and Repos
  • Experience with other cloud providers such as AWS or GCP
  • Experience with Kubernetes in production environments
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The Company
HQ: Buenos Aires
99 Employees
Year Founded: 2017

What We Do

Mutt Data is a technology company that helps startups and big companies build and implement Machine Learning & AI solutions that drive real business results. Whether you work in finance, insurance, advertising, telcos, on-demand services or e-commerce, our solutions will help you get ahead of your competition with the latest technologies, techniques and best practices. We Are Astronomer, Amazon, Databricks, GCP and H2O Consulting Partners. We Are #DataNerds

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