Remote ML Engineer – MLops Deployment & Data Quality

Anyone Ai Inc.; La Pampa; Remote; ARS 27,262,000 - 45,437,000; Full time

Benefits offered by this job

10 days PTO

USA Holidays

Remote work

Job summary

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a U.S.-based marketing analytics client and work remotely across LATAM. You will translate raw data into actionable insights and collaborate with stakeholders in English.

The role emphasizes strong SQL and Python skills, comfort with large datasets, and the ability to explain technical results clearly. Open to recent graduates through mid-level professionals seeking to deepen data manipulation and ML exposure.

Qualifications

• Bachelor's degree in a quantitative field with coursework in databases
• Experience with large-scale data analysis and reporting is a plus
• Strong SQL and Python skills with ability to translate results for stakeholders
• Exposure to ML concepts and model evaluation desired

Responsibilities

• Write, optimize, and execute SQL queries to extract data from relational databases and cloud data warehouses.
• Develop, run, and validate machine learning, predictive, or statistical matching models to uncover deeper consumer behaviors.
• Slice, unpivot, and aggregate raw transactional data to calculate core business metrics such as household penetration, market share, and purchasing trends.
• Build and maintain clean data tables and views that feed dashboards and recurring reports.
• Review outputs, perform data audits, and ensure data integrity before insights.
• Translate technical results into clear summaries for English-speaking stakeholders.

Skills

SQL

Python (pandas)

English (advanced)

Data analysis

Machine learning basics

Education

Bachelor's degree in Business Analytics / Statistics / CS

Tools

Snowflake

BigQuery

SQL Server

Job description

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a U.S.-based marketing analytics client and work remotely across LATAM. You will translate raw data into actionable insights and collaborate with stakeholders in English.

The role emphasizes strong SQL and Python skills, comfort with large datasets, and the ability to explain technical results clearly. Open to recent graduates through mid-level professionals seeking to deepen data manipulation and ML exposure.