Senior Data Scientist

SCALEUP; Brasil; Remote; BRL 446.000 - 781.000; Vollzeit

Zusammenfassung

SCALEUP is seeking a Senior Data Scientist to collaborate with senior researchers on applied AI, infrastructure, and tooling to democratize Generative AI. You will work hands-on with modern AI tech, build practical tools, and contribute to open-source projects.

The role emphasizes Python development, deep learning with PyTorch, and strong software engineering practices in a remote-capable environment in Brazil.

Qualifikationen

• Bachelor's degree required in a technical field.
• Solid Python, data structures, and math foundation.
• Experience with PyTorch and neural networks is a plus.
• Strong interest in applied AI and Generative AI research.

Aufgaben

• Build RAG pipelines on internal docs and knowledge bases.
• Develop Python libraries leveraging AWS for GenAI in enterprises.
• Contribute to open-source internal tools and projects.
• Implement neural-network architectures inspired by current research.
• Work with fine-tuned models, vector databases, and embeddings for GenAI workflows.
• Create simulations to support AI agent training.
• Design automated tooling to prevent common training issues (overfitting, vanishing gradients).
• Develop visualizations to help teams understand model behavior.

Kenntnisse

Python development

Data structures

Algorithms

Engineering math

PyTorch

Deep neural networks

Open-source

English communication

Ausbildung

Bachelor's degree in CS/Engineering/IS or related field

Jobbeschreibung

Senior Data Scientist

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

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.