We are looking for a Machine Learning Engineer Senior to join our team πΆπ. You'll own the deployment, job configuration, and end-to-end operation of our AI Factory products, making sure the full pipeline β from data generation to publishing results to operations β runs reliably, observably, and scalably across countries.
This role works closely with development squads and platform teams, diagnosing runtime incidents and keeping production pipelines healthy across environments. Strong ownership, operational rigor, and end-to-end product knowledge are essential to succeed in this fast-paced, collaborative environment.
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.
Amazon Web Services
Astronomer
Databricks
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 case studies and dive into our
blog post to learn more about our culture and the exciting projects weβre working on! 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.
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.
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.
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: Monthly credits to spend in our benefits marketplace.
βοΈποΈ Annual Mutters' Trip β an unforgettable getaway with the team!
