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MUTT DATA

Senior Machine Learning Engineer – Databricks

MUTT DATA

. Orchestrate production pipelines on Databricks Jobs, chaining tasks via depends_on and managing failure modes (ALL_SUCCESS / ALL_DONE) .

Posted 10/9/2026full-timeRemote • MexicoSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in orchestrating data and ML pipelines using Databricks, with a strong focus on CI/CD practices and infrastructure as code. Proficient in managing model lifecycles and ensuring operational continuity through effective resource management and cost monitoring.

Highest-signal resume keywords
Databricks Pipeline OrchestrationCI/CD ExperienceAdvanced PythonSQLInfrastructure As Code

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Databricks JobsDatabricks Asset BundlesMLflowUnity CatalogDeltaCode Quality StandardsBlackIsortMypyDeployment Automation
Tools & Technologies
Azure DevOpsGitflowAIOpsObservability
Industry Keywords
FinOpsMulti-Country SchemasDrift MonitoringAI AgentsAgent Orchestration

Tech Stack

Tools & technologies
AzurePythonSQLUnity

About the role

Key responsibilities & impact
  • 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, including registration, versioning, Champion/Challenger aliases, and rollback
  • Ensure operational continuity by managing compute across workspaces, standardizing cost-monitoring tags (FinOps), and integrating with AIOps/observability
  • Master the product end-to-end to diagnose runtime incidents and coordinate with development squads
  • Own deployment, job configuration, and end-to-end operation of AI Factory products across countries

Requirements

What you’ll need
  • Proven experience orchestrating data/ML pipelines on Databricks (Jobs, Workflows, cluster policies)
  • Solid CI/CD experience (Azure DevOps, gitflow, PRs)
  • Infrastructure as code with Databricks Asset Bundles (DABs)
  • Code quality standards: black, isort, mypy
  • Advanced Python
  • SQL
  • Delta / Unity Catalog
  • Experience with multi-country schemas, drift/cost monitoring, and deployment automation is nice to have
  • Experience developing AI agents / agentic infrastructure (e.g. Mosaic AI Agent Framework, agent orchestration, MCP) is nice to have
  • Currently based in Mexico or a location within a similar time zone, allowing for strong overlap with Mexico working hours is nice to have

Benefits

Comp & 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
  • Maslow: Monthly credits to spend in our benefits marketplace
  • Annual Mutters' Trip – an unforgettable getaway with the team