Senior ML Engineer - Remote, End-to-End Production

Lever, Inc.; Ciudad de México; Hybrid; MXN 1,621,000 - 2,341,000; Full time

Benefits offered by this job

Remote-first culture

Certifications covered: AWS, DBT, GCP,

Birthday off + extra vacation week

Referral bonuses

Maslow credits

Annual Mutters' Trip

Job summary

Muttdata, a remote-first startup, is seeking a Senior Machine Learning Engineer to own deployment, job configuration, and end-to-end operation of AI Factory products across countries. You will diagnose runtime incidents, maintain production pipelines, and collaborate with development squads in a fast-paced environment.

You will work with Databricks, MLflow, Unity Catalog, and cloud-based data infrastructures, ensuring observability, scalability, and cost-awareness across projects and regions.

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

CI/CD

Python

SQL

Unity Catalog

Databricks Jobs

Azure DevOps

Tools

Databricks Asset Bundles (DABs)

Azure DevOps

gitflow

black

isort

mypy

Job description

Muttdata, a remote-first startup, is seeking a Senior Machine Learning Engineer to own deployment, job configuration, and end-to-end operation of AI Factory products across countries. You will diagnose runtime incidents, maintain production pipelines, and collaborate with development squads in a fast-paced environment.

You will work with Databricks, MLflow, Unity Catalog, and cloud-based data infrastructures, ensuring observability, scalability, and cost-awareness across projects and regions.