Remote ML Engineer: Databricks Pipelines & MLOps

Muttdata; Argentina; Remote; ARS 92,241,000 - 138,361,000; Full time

Benefits offered by this job

Remote-first culture

Cloud certifications covered

English lessons

Birthday off + extra vacation week

Referral bonuses

Maslow benefits credits

Annual team trip

Childcare reimbursement

Job summary

Muttdata is a remote-first startup delivering data products and ML solutions for global clients. We seek a Machine Learning Engineer to own production pipelines on Databricks, manage deployments via DABs, and govern model lifecycles with MLflow and Unity Catalog.

You will collaborate across squads to diagnose incidents and improve observability. Ideal candidates have strong Python/SQL skills, experience with Delta Lake, and CI/CD practices in cloud environments.

Qualifications

• Experience orchestrating data/ML pipelines on Databricks (Jobs, Workflows, cluster policies).
• CI/CD experience with Azure DevOps, gitflow, PRs; IaC with DABs; code quality with black/isort/mypy.
• Advanced Python, SQL, Delta / Unity Catalog.

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.

Skills

Databricks pipelines

CI/CD

Azure DevOps

Gitflow

Infrastructure as Code

Code quality

Python

SQL

Delta Lake

Unity Catalog

Tools

Databricks

Azure DevOps

DABs

Unity Catalog

Job description

Muttdata is a remote-first startup delivering data products and ML solutions for global clients. We seek a Machine Learning Engineer to own production pipelines on Databricks, manage deployments via DABs, and govern model lifecycles with MLflow and Unity Catalog.

You will collaborate across squads to diagnose incidents and improve observability. Ideal candidates have strong Python/SQL skills, experience with Delta Lake, and CI/CD practices in cloud environments.