About this role
π What We Do
- Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.
- Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client.
- Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.
- Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.
- Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval.
- Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions.
π Our Partnerships
- Amazon Web Services
- Astronomer
- Databricks
π Our Values
- π We are Data Nerds
- π€ We are Open Team Players
- π We Take Ownership
- π We Have a Positive Mindset
π Curious about what weβre up to? Check out our (https://blog.muttdata.ai/tag/Case%20Studies/1) case studies and dive into ourblog post (https://blog.muttdata.ai/) to learn more about our culture and the exciting projects weβre working on! π
Responsibilities π€
- 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 β qa β 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.
Required Skills π
- 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.
Nice to Have π
- Experience with multi-country schemas, drift/cost monitoring, and deployment automation.
- Experience developing AI agents / agentic infrastructure (e.g. Mosaic AI Agent Framework, agent orchestration, MCP).
- Currently based in Mexico or a location within a similar time zone, allowing for strong overlap with Mexico working hours.
π Perks
- Remote-first culture β work from anywhere! π
- AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
- Birthday off + an extra vacation week (Mutt Week! ποΈ)
- Referral bonuses β help us grow the team & get rewarded!
- Maslow (https://maslow.hr/): Monthly credits to spend in our benefits marketplace.
- βοΈ ποΈAnnual Mutters' Trip (https://www.youtube.com/watch?v=dq1x2krHGb8&t=2s) β an unforgettable getaway with the team!
