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This position was posted on April 24, 2026 and is likely no longer accepting applications. We've kept it here for historical reference. Check out the similar jobs below!

Silver.com LLC logo

Carefull - Data Scientist / AI Engineer

Job Overview

Location

Argentina

Job Type

Full-time

Category

Data Science

Date Posted

April 24, 2026

Full Job Description

đź“‹ Description

  • • As a Data Scientist / AI Engineer at Carefull, you will build and improve AI-powered detection systems that protect older adults from financial fraud and mistakes, directly contributing to the safety and independence of vulnerable customers.
  • • You will own end-to-end implementation of detection features, design data enrichment pipelines from messy financial transaction data, research fraud typologies, build evaluation frameworks, optimize AI pipelines for accuracy and cost, and collaborate with cross-functional teams to ensure real-world impact.
  • • Carefull is an AI-powered financial safety platform serving banks, credit unions, and wealth advisors, focused on safeguarding older-adult customers through advanced monitoring and protective tools that support whole-family financial relationships.
  • • In this role, you will deepen your expertise in applied AI, LLMs, fraud detection, and financial data systems while shipping production-grade solutions that measure and improve customer outcomes.

Skills & Technologies

Python
DynamoDB
AWS
Data Science
Onsite

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Silver.com LLC logo
Silver.com LLC
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About Silver.com LLC

Silver.com LLC is a U.S.-based precious metals dealer headquartered in Dallas, Texas. The company sells bullion, coins and bars in gold, silver, platinum and palladium for individual investors and retirement accounts. Orders are fulfilled through third-party vaulting partners and shipped insured nationwide. Services include price-locked online purchasing, IRA-approved storage programs and live market pricing data. Founded in 2014, the firm operates exclusively through its e-commerce platform and maintains an A+ BBB rating. Revenue derives from product markups over the spot price and storage fees, with no commission-based sales staff.

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