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MUTT DATA

Senior Machine Learning Engineer

MUTT DATA

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

Posted 10/7/2026full-timeRemote • MexicoSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in orchestrating data and ML pipelines on Databricks, with a strong focus on CI/CD practices using Azure DevOps and infrastructure as code. Proficient in managing model lifecycles in MLflow and ensuring production pipeline reliability and observability across multiple environments.

Highest-signal resume keywords
Databricks Pipeline OrchestrationCI/CD with Azure DevOpsAdvanced PythonAdvanced SQLMLflow Model Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Databricks JobsDatabricks Asset BundlesInfrastructure as CodeCode Quality StandardsDelta CatalogUnity CatalogMulti-Country Schema ManagementCost MonitoringDeployment AutomationAI Agent Development
Tools & Technologies
Azure DevOpsGitflowMosaic AI Agent FrameworkAIOpsObservability Systems
Industry Keywords
FinOpsProduction PipelinesModel Lifecycle ManagementChaining TasksRuntime Incident Diagnosis

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, promoting across dev, QA, and production targets with resource/deployment files per country
  • Manage model and artifact lifecycles in MLflow and Unity Catalog, including registration, versioning, Champion/Challenger aliases, and rollback
  • Manage compute across workspaces and standardize cost-monitoring tags for FinOps
  • Integrate with AIOps and observability systems
  • Diagnose runtime incidents and coordinate with development squads
  • Keep production pipelines healthy, reliable, observable, and scalable across environments and countries

Requirements

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