AI Engineer Databricks - Mexico

Posted 5 Days Ago
Be an Early Applicant
Hiring Remotely in México
Remote
Entry level
Artificial Intelligence • Information Technology • Machine Learning
The Role
Build and govern scalable machine learning features and AI solutions using Databricks and Unity Catalog. Responsibilities include feature engineering, metadata and lineage management, data governance, CI/CD deployment pipelines, job monitoring, FinOps, and maintaining consistency between training and production environments. The role requires advanced SQL and Python skills, strong data engineering expertise, and knowledge of data quality and scalable architecture practices.
Summary Generated by Built In

🚀 Join Our Remote Data Products & Machine Learning Startup! 🚀

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 🐶🚀.

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.

🚀 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

  • 📊 We are Data Nerds
  • 🤗 We are Open Team Players
  • 🚀 We Take Ownership
  • 🌟 We Have a Positive Mindset
  •  
    🔍 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! 🚀

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.

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 😉

  • 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! 🏖️)
  • 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.
  • 👶 Monthly Childcare Reimbursement  – Because supporting families matters too

Skills Required

  • Hands-on experience with feature engineering, data engineering, and deploying AI models using Databricks and Unity Catalog
  • Advanced proficiency in SQL
  • Advanced proficiency in Python
  • Experience with data governance, data lineage, and data quality frameworks
  • Knowledge of naming conventions, metadata standards, and scalable data architecture best practices
  • Feature Store certification at the Fundamentals or Expert level
  • Experience working with financial data
  • Experience developing AI agents or agentic infrastructure, including Mosaic AI Agent Framework, agent orchestration, or MCP
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The Company
HQ: Buenos Aires
99 Employees
Year Founded: 2017

What We Do

Mutt Data is a technology company that helps startups and big companies build and implement Machine Learning & AI 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, Databricks, GCP and H2O Consulting Partners. We Are #DataNerds

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