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Über diese AI Engineer Databricks - Mexico Stelle bei Muttdata

Muttdata · Remote · Mexico

🚀 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
  • Bereit, sich bei Muttdata zu bewerben?
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