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AI Engineer Databricks - Mexico

Role overview

Qualifications

  • 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.

Responsibilities

  • 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.

Key facts

Hard skills

Other skills

  • Detail Oriented
  • Problem Solving

About the company

MUTT DATA logo

MUTT DATA

Artificial Intelligence & Machine Learning Services

Mutt Data is a technology company that helps startups and big companies build and implement Machine Learning solutions that drive real business results. Whether you work in finance, insurance, advertising, telcos, on-demand services or e-commerce, our solutions will help you get ahead of your competition with the latest technologies, techniques and best practices We Are Astronomer & Amazon Consulting Partners. We Are #DataNerds.

Company details

Company typeScaleup
IndustryArtificial Intelligence & Machine Learning Services
Company size51 - 200

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Job description

πŸš€ Join Our Remote Data Products & Machine Learning Startup! πŸš€

At Muttdata, we build innovative Data Products and Machine Learning solutions that help companies solve complex business challenges. As a fast-growing, remote-first startup, we're passionate about technology, collaboration, and continuous learning.

This opportunity is with a leading multinational beverage company based in Mexico City.

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 πŸΆπŸš€.

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.


πŸš€ 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.

  • 🌟 Our Partnerships
  • Amazon Web Services
  • Astronomer
  • Databricks

  • 🌟 Our Values
  • πŸ“Š We are Data Nerds
  • πŸ€— We are Open Team Players
  • πŸš€ We Take Ownership
  • 🌟 We Have a Positive Mindset
  •   πŸ” Curious about what we’re up to? Check out our case studies and dive into our blog post to learn more about our culture and the exciting projects we’re working on! πŸš€
    Responsibilities πŸ€“
  • 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.

  • Required Skills
  • 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.

  • Nice to Have Skills πŸ˜‰
  • 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).

  • 🎁 Perks
  • Remote-first culture – work from anywhere! 🌍
  • AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
  • In-Company English Lessons.
  • Birthday off + an extra vacation week (Mutt Week! πŸ–οΈ)
  • Referral bonuses – help us grow the team & get rewarded!
  • Maslow: Monthly credits to spend in our benefits marketplace.
  • ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team.
  • πŸ‘Ά Monthly Childcare Reimbursement  – Because supporting families matters too
  • Apply once. Then go straight to the hiring manager.

    After you apply, unlock the direct contact details of the people who actually make the call. A quick follow-up makes you 5x more likely to land an interview.

    MR

    Marcus Rivera

    Chief Revenue Officer

    m.rivera@company.com
    linkedin.com/in/marcusrivera
    Unlocked after you apply
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