The posting
🚀 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
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



