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Data Scientist LLM

hace 2 semanas

Buenos Aires, Buenos Aires C.F., Argentina Kiwi Financial Inc A tiempo completo

We are looking for an autonomous, innovative, and curious Data Scientist with a passion for the latest tech—especially large language models (LLMs) and generative AI. As a member of our team, you will play a key role in designing and implementing advanced AI-driven solutions within a fintech environment. You will have the freedom to explore emerging technologies, propose new ideas, and drive projects that shape the future of our products and services.

Key Responsibilities

  • Develop robust, scalable Python code to support internal LLM-based fintech products.
  • Collaborate with cross-functional teams to integrate ML models into production environments and client-facing applications.
  • Build and maintain APIs/endpoints that interface with large language models and other backend services.
  • Ensure that data handling complies with security and regulatory requirements.
  • Maintain strong documentation and testing practices, ensuring software quality and reliability.
  • Investigate and experiment with new LLM/GPT advancements to continually improve product offerings.

Qualifications

1.Python Proficiency

  • Demonstrated experience coding in Python (e.g., building, testing, and deploying Python applications).
  • Familiarity with common Python libraries and frameworks relevant to machine learning and LLMs (e.g., Numpy, Pandas, SQLAlchemy, FastAPI).

2.Experience with LLM-Based Solutions

  • Hands-on experience developing solutions powered by large language models (LLMs) and generative AI (e.g., GPT-based services, fine-tuning language models).
  • Understanding of prompt engineering, data preprocessing, model deployment, and inference pipelines.

3.Endpoints and APIs

  • Experience designing and implementing RESTful or GraphQL APIs, including integrating with third-party APIs and services.
  • Familiarity with security best practices and handling of sensitive data in financial/regulated environments.

4.Production Code Development

  • Proven track record of shipping and maintaining high-quality, production-level software.
  • Understanding of code reviews, testing strategies (unit, integration, end-to-end), and version control (Git).

Preferred/Additional Skills

  • Machine learning model development (ML Models, Pytorch, TensorFlow,Scikit-learn)
  • Software development experience (OOP, Software develpoment patterns)
  • JavaScript/TypeScript (Familiarity with front-end frameworks (React, Vue, Angular) is beneficial but not mandatory).
  • Cloud & DevOps (AWS, GCP, Azure) for deploying Al/ML
  • Fintech Background (Banking, payments, insurance)
  • Collaboration & Communication
  • Fintech Background

If you're passionate about making a tangible impact in a mission-driven fintech, we'd love to hear from you