GenAI Data Scientist - Remote (Argentina)

SCALEUP

Argentina

Remote

ARS 900,000 - 2,100,000

Full time

14 days+

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Job summary

SCALEUP in Argentina is seeking a Data Scientist to work with our research team on applied AI, infrastructure, and GenAI tooling initiatives focused on democratizing Generative AI.

This is a hands-on role for someone who enjoys working with modern AI tech, building practical tools, experimenting with new research, and contributing to open-source projects. Remote-first setup with collaboration across global teams.

Qualifications

  • Strong Python development skills.
  • Foundation in data structures, algorithms and math.
  • Experience with PyTorch is preferred but not mandatory.
  • Interest in applied AI and GenAI research.
  • Willingness to contribute to open-source code.

Responsibilities

  • Build RAG pipelines on top of internal documentation and knowledge bases.
  • Develop Python libraries leveraging AWS services to enable GenAI capabilities for large enterprises.
  • Build and contribute to open-source internal tools.
  • Implement neural-network architectures inspired by current research.
  • Work with fine-tuned models, vector databases, embeddings and GenAI infra.
  • Create realistic simulations to support AI agent training.
  • Design automated tools to prevent common training issues.
  • Develop visualizations to help understand model behavior and performance.

Skills

Python
Data structures
Algorithms
Engineering math
PyTorch
Open-source
English

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field

Job description

SCALEUP in Argentina is seeking a Data Scientist to work with our research team on applied AI, infrastructure, and GenAI tooling initiatives focused on democratizing Generative AI.

This is a hands-on role for someone who enjoys working with modern AI tech, building practical tools, experimenting with new research, and contributing to open-source projects. Remote-first setup with collaboration across global teams.

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