Senior Machine Learning Engineer

• 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

• 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)

• 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