Data Scientist

Scale Up Recruiting Partners; Rosario; Presencial; ARS 37.826.000 - 75.652.000; Jornada completa

Descripción de la vacante

Scale Up Recruiting Partners is seeking a Data Scientist for a remote, long-term engagement based in Argentina. The role emphasizes hands-on work with modern AI, GenAI tooling, and practical experimentation, collaborating with a research team.

The ideal candidate will have strong Python skills, a solid math foundation, and an interest in applied AI, with experience in PyTorch and AWS is a plus. Excellent English and independent remote work are essential.

Formación

• Strong Python development skills.
• Solid foundation in data structures, algorithms, and mathematics.
• Interest in applied AI and Generative AI.
• Experience with PyTorch preferred but not mandatory.
• Self-directed, remote-ready with advanced English.

Responsabilidades

• Build RAG pipelines on internal documentation and knowledge bases.
• Develop Python libraries leveraging AWS for GenAI in enterprises.
• Build and contribute to open-source internal tools.
• Implement neural-network architectures from research.
• Work with fine-tuned models, embeddings, and GenAI infra.
• Create realistic simulations for AI agent training.
• Design automated tooling to prevent training issues (overfitting, vanishing gradients, dead ReLUs).
• Develop visualizations to understand model behavior and performance.

Conocimientos

Python development

Data structures

Algorithms

Engineering mathematics

PyTorch

Generative AI interest

Open-source

Remote work

Advanced English

Educación

BSc in CS

Herramientas

AWS

Descripción del empleo

Data Scientist

• Location: Argentina — Remot
• Type: Full-time, long-term contractor
• Eligibility: This opportunity is open exclusively to candidates based in Argentina.

About The Company

Our client is a leading cloud-first consulting company delivering Managed Services, Staffing, and Professional Services. With a remote-first global team across North America, Europe, and Southeast Asia, the company helps organizations embrace cloud technologies through innovative, customer-focused solutions.

The organization values collaboration, agility, innovation, integrity, diversity and inclusion, and offers an environment where talented professionals can work on meaningful, cutting-edge initiatives.

About The Role

Our client is looking to hire a Data Scientist to work closely with senior members of its research team on applied AI, infrastructure, and tooling initiatives focused on democratizing Generative AI.

This is an excellent opportunity for someone who enjoys working hands-on with modern AI technologies, building practical tools, experimenting with new research, and contributing to open-source projects.

What You’ll Do

• 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 newly published research.
• Work with fine-tuned models, vector databases, embeddings, and related GenAI infrastructure.
• Create more realistic simulations to support AI agent training.
• Design automated tools to prevent common neural-network training issues, including overfitting, vanishing gradients, and dead ReLUs.
• Develop visualizations that help teams better understand model behavior and performance.

What We’re Looking For

• Strong Python development skills.
• Solid foundation in data structures, algorithms, and engineering mathematics.
• Experience with PyTorch and deep neural-network training is preferred, but not mandatory.
• Genuine interest in applied AI, Generative AI, and emerging research.
• Interest in contributing to open-source code and tools.
• Strong engineering best practices and attention to code quality.
• Self-directed, independent, and comfortable working in a remote environment.
• Advanced English communication skills
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.