Databricks AI Engineer for Scalable ML & Data Governance

Muttdata; Ciudad de México; Hybrid; 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

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,