Senior ML Ops Engineer - Production ML at Scale (Remote)

Silicon Development; La Pampa; Remote; ARS 76,867,000 - 122,988,000; Full time

Benefits offered by this job

10 days PTO

USA Holidays

Remote work

Global team

ML & Data skills

Job summary

Silicon Development is seeking a Data Analyst (Machine Learning) to join our client's global team. The role emphasizes SQL data extraction, ML model development, and translating analytics into clear business insights for English-speaking stakeholders.

Ideal candidates range from recent graduates to mid-level analysts with a strong quantitative background. This 100% remote LATAM opportunity focuses on large consumer datasets and cross-border collaboration.

Qualifications

• 0–4 years of experience in Data Analysis or similar roles.
• Advanced English level (written and spoken).
• Foundational to intermediate SQL skills with complex JOINs and CASE WHEN logic.
• Python scripting for data cleaning and processing, including pandas.
• Experience with modeling libraries such as scikit-learn or statsmodels.
• Experience handling messy text fields and data normalization.

Responsibilities

• Write, optimize, and execute SQL queries to extract data from databases and cloud warehouses.
• Develop, run, and validate ML, predictive, or statistical matching models.
• Slice and aggregate data to calculate core business metrics like market share and purchasing trends.
• Build and maintain clean data tables and views feeding dashboards.
• Review outputs, perform data audits, and ensure data integrity before insights.

Skills

SQL

Python

Machine Learning

English (Advanced)

Data Visualization

Education

Bachelor's degree in a quantitative field

Tools

pandas

scikit-learn

BigQuery

Job description

Silicon Development is seeking a Data Analyst (Machine Learning) to join our client's global team. The role emphasizes SQL data extraction, ML model development, and translating analytics into clear business insights for English-speaking stakeholders.

Ideal candidates range from recent graduates to mid-level analysts with a strong quantitative background. This 100% remote LATAM opportunity focuses on large consumer datasets and cross-border collaboration.