Senior Machine Learning Engineer – Databricks

• 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

• 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

• 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