We are looking for an AI Engineer to join our team and work on high-impact projects for a major multinational beverage company based in Mexico πΆπ.
In this role, you will build and govern scalable machine learning solutions, ensuring reliable, reusable, and auditable outcomes. You will work closely with cross-functional teams, turning complex business data into trustworthy, well-governed AI products. Attention to detail, strong data governance instincts, and a reuse-first mindset 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
Design and engineer robust machine learning features on Databricks to power various AI models and solve complex business challenges.
Implement features with complete standard metadata (description, keys, lineage, ownership, tags, data lifecycle) and scalable design patterns to maximize reusability across the organization.
Follow robust deployment pipelines (CI/CD, bundle validation, PRD), oversee job monitoring, and apply FinOps practices to ensure efficient cloud resource usage within the Databricks ecosystem.
Ensure strict consistency between training and production environments, maintaining a single source of truth for all ML models.
Proven hands-on experience in feature engineering, data engineering, and deploying AI models specifically using Databricks and Unity Catalog.
Advanced proficiency in SQL and Python; strong background in data governance, data lineage, and data quality frameworks.
Deep familiarity with naming conventions, metadata standards, and scalable data architecture best practices.
Feature Store certification (Fundamentals / Expert) and experience with financial data.
Experience developing AI agents / agentic infrastructure (e.g. Mosaic AI Agent Framework, agent orchestration, MCP).
Remote-first culture β work from anywhere! π
AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
In-Company English Lessons.
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.
πΆ Monthly Childcare Reimbursement β Because supporting families matters too
