Senior ML Engineer - Remote-First, End-to-End AI Pipelines

Gomyneed Private Limited; Ciudad de México; Remote; MXN 1,868,000 - 2,615,000; Full time

Benefits offered by this job

Remote-first

Certifications covered

Birthday week off

Referral bonuses

Benefits credits

Annual company trip

Job summary

Muttdata, a remote-first data products & ML startup, seeks a Senior Machine Learning Engineer to own end-to-end AI Factory deployments across countries. You will orchestrate Databricks Jobs, manage DABs deployments, and handle MLflow/Unity Catalog artifact lifecycles in a highly observable, scalable environment.

Responsibilities include configuring production pipelines, ensuring cross-country deployments, and driving operational excellence with FinOps and AIOps integration.

Qualifications

• 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.

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

Python

SQL

CI/CD

IaC

Tools

Databricks Asset Bundles (DABs)

MLflow

Unity Catalog

Job description

Muttdata, a remote-first data products & ML startup, seeks a Senior Machine Learning Engineer to own end-to-end AI Factory deployments across countries. You will orchestrate Databricks Jobs, manage DABs deployments, and handle MLflow/Unity Catalog artifact lifecycles in a highly observable, scalable environment.

Responsibilities include configuring production pipelines, ensuring cross-country deployments, and driving operational excellence with FinOps and AIOps integration.