AI Engineer Databricks - Mexico

Muttdata; Ciudad de México; On-site; MXN 1,628,000 - 2,352,000; Full time

Benefits offered by this job

Remote-first culture

Certifications covered

In-Company English lessons

Birthday off

Referral bonuses

Mutters' Trip

Monthly childcare reimbursement

Job summary

Muttdata is hiring an AI Engineer to design and govern scalable ML solutions for a major multinational beverage client. You will work remotely with cross-functional teams to turn complex data into trustworthy AI products, with a reuse-first mindset and strong governance.

You will engineer features on Databricks, ensure metadata completeness, CI/CD deployment, and align training with production. This role emphasizes data governance, lineage, and scalable architecture in a fast-paced,

Qualifications

• Proven hands-on experience in feature engineering, data engineering, and deploying AI models using Databricks and Unity Catalog.
• Advanced proficiency in SQL and Python with a focus on data governance, lineage and quality.
• Knowledge of metadata standards and scalable data architecture best practices.

Responsibilities

• Design and engineer robust ML features on Databricks to power AI models.
• Ensure complete metadata (description, keys, lineage, ownership, tags, lifecycle) for reusability.
• Follow CI/CD pipelines, monitor jobs, and apply FinOps for efficient cloud usage.
• Maintain a single source of truth between training and production environments.

Skills

Feature engineering

Data engineering

Deploying AI models (Databricks)

Unity Catalog

SQL

Python

Data governance

Data lineage

Data quality

Metadata standards

Scalable data architecture

Tools

Databricks

Unity Catalog

Cloud platforms

Job description

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