20 melhores vagas de stack developer (python) para diadema, sp (Contratando agora!)

Solutions Architect, Model Builder - LATAM
NVIDIA —São Paulo, SP 04576-020
- Tempo integral
- Doutorado
- Ciência da Computação
- Banco de Dados
Staff Software Engineer
WatchGuard Technologies, Inc. —São Paulo, SP
- Tempo integral
- Banco de Dados
- SQL
- Mentoria
Candidatura rápida
Microservices AI Developer
Ghostpunch Games —São Paulo, SP
- Tempo integral
- Ciência da Computação
- DevOps
- Banco de Dados
AI Engineer - RAG & Semantic Search
Syngenta Seeds —São Paulo, SP
- Tempo integral
- Modelo Híbrido
- Ciência da Computação
- Ciência da Computação
- Banco de Dados
- Auxílio-educação
Candidatura rápida
Há 7 dias
Full Stack Developer - Node.js + Angular (Desenvolvimento AI-First) - São Paulo/SP ou Cascavel/PR
Aprova —São Paulo, SP
- Ciência da Computação
- Graduação
- Melhoria Contínua
- Assistência médica
- Assistência odontológica
Lead, AI Engineering
Bain & Co. —São Paulo, SP
- Tempo integral
- Azure
- Gestão
- Inglês
- Trabalho remoto
Candidatura rápida
Network Security Analyst
Thales —São Bernardo do Campo, SP
- Tempo integral
- Azure
- Ciência da Computação
- Inglês
Head of Quant
NEXT Ventures —São Paulo, SP
- Tempo integral
- Modelo Híbrido
- Banco de Dados
- C++
- Graduação
Candidatura rápida
Senior Full-Stack Developer
KPIT Technologies GmbH —São Paulo, SP
- Tempo integral
- Azure
- Ciência da Computação
- DevOps
Automation-Data Scientist / GenAI expert
Lenovo —São Paulo, SP
- Tempo integral
- Azure
- Gestão
- Ciência da Computação
Senior Forward Deployed Engineer - QuantumBlack Studio
McKinsey & Company —São Paulo, SP
- Azure
- Gestão
- Ciência da Computação
Há 9 dias
Automation-Data Engineering / Analytics
Lenovo —São Paulo, SP
- Tempo integral
- Azure
- Gestão
- Ciência da Computação
Principal Data Scientist - QuantumBlack Studio
McKinsey & Company —São Paulo, SP
- Azure
- Doutorado
- Inglês
Software Engineer, Early Career (For Women in Tech Candidates)
Google —São Paulo, SP
- Ciência da Computação
- Inglês
- Java
QA Automation Engineer - Remote Work
BairesDev —São Paulo, SP
- Tempo integral
- Home Office
- Java
- Mestrado
- C++
- Trabalho remoto
Sênior Full Stack Developer - São Paulo ( SP) ou Porto Alegre (RS)
Monjuá —São Paulo, SP
- Oracle
- Banco de Dados
- JavaScript
Candidatura rápida
Especialista em Infraestrutura de TI (Data Center, Servidores e Storage)
BUNGE —São Paulo, SP
- Home Office
- Azure
- Ciência da Computação
- Mestrado
Há 8 dias
Agentic AI Solutions Architect - Remote, Latin America
Bluelight Consulting —São Paulo, SP
- Tempo integral
- Home Office
- Azure
- Inglês
- SQL
AI Engineer - Forward Deployed Engineer
Salesforce —São Paulo, SP
- Tempo integral
- CRM software
- Ciência da Computação
- Salesforce
Machine Learning Operations Engineer II
Housecall Pro —São Paulo, SP
- Home Office
- Ciência da Computação
- Inglês
- Graduação
Candidatura rápida

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Solutions Architect, Model Builder - LATAM

NVIDIA -
São Paulo, SP 04576-020

Candidate-se Agora

Detalhes da vaga

Tempo integral

Qualificações

TensorFlow
Doutorado
Ciência da Computação
PyTorch
Banco de Dados
C++
C
Machine Learning
Deep learning
APIs
Inteligência artificial
Python
Debug

Descrição completa da vaga

Join NVIDIA as a Solutions Architect to help LATAM build culturally-nuanced LLMs and empower local developers to build and deploy next-generation agentic AI applications. Collaborate with premier startups, research labs and ISVs to develop the next generation components of the AI-native systems. By mastering NVIDIA’s core technologies—NIM, NeMo Framework, Dynamo, and Nemo Agent Toolkit—you will guide partners through the complexities of performance optimization and production-grade deployment. As a trusted advisor, you’ll transform raw LLM capabilities into high-performance, industry-focused enterprise agents. At NVIDIA, we work as a unified front. You will collaborate daily with our Account Managers, DevRel leads, and Marketing experts to turn bold AI visions into regional realities.

What you'll be doing:

Localize the future: Fine-tune LLMs to speak the authentic language of specific regions and industries.
Develop and optimize training and inference workflows with partners and collaborate with internal NVIDIA development teams to improve our software stack
Build sophisticated agentic systems featuring multi-agent coordination, long-horizon reasoning, and sophisticated planning frameworks.
Develop full-scale solutions, including domain-specific enterprise agents and high-performance retrieval pipelines (RAG) spanning various data sources.
Optimize inference performance by bringing to bear GPU-accelerated frameworks and the full NVIDIA AI infrastructure stack.
Build hands-on PoCs and reference architectures that serve as the blueprint for production-grade generative AI pipelines.
Partner with high-growth startups and Enterprise ISVs to embed NVIDIA’s software stack into their core platforms, slashing the time to market for production-grade AI.
Fuel partner innovation through hands-on developer enablement and thorough architectural reviews, turning sophisticated AI visions into production realities.
Scale global expertise by crafting reusable assets and documentation that help field teams deploy agentic AI at scale.

What we need to see:

BS/MS/PhD in Computer Science, Electrical Engineering, AI/ML, or equivalent experience.
5+ years of experience in deep learning, machine learning, or distributed AI systems.
Strong programming and debugging experience in Python, C/C++, and Linux environments.
Background in using deep learning libraries like PyTorch or TensorFlow.
Hands-on experience building LLM and generative AI applications.
Experience working with agentic or multi-agent AI systems employing frameworks such as: LangGraph, LlamaIndex, CrewAI, LangChain, or OpenAI Agents SDK or similar orchestration frameworks
Experience building tool-using AI agents that interact with APIs, databases, and enterprise systems.
Ability to rapidly prototype AI applications and build scalable GPU-accelerated architectures.
Excellent interpersonal skills and the ability to collaborate with engineering teams, partners, and executive collaborators.

Ways to Stand Out from the Crowd:

Experience working with NVIDIA GPUs and AI software, such as NVIDIA NIM, NeMo Framework, NeMo Retriever, and NeMo Agent Toolkit.
Experience with LLM evaluation frameworks, benchmarking systems, and safety guardrails for agentic workflows.
Experience optimizing reasoning-focused LLMs through timely engineering, quantization, or benchmarking.
Familiarity with Kubernetes/OpenShift, CI/CD automation, and cloud-native deployment patterns for AI systems.
Experience with parallel or distributed computing environments and AI workloads optimized for GPUs.

Candidate-se Agora

Refine sua pesquisa

stack developer (python) vagas para: diadema, sp

Solutions Architect, Model Builder - LATAM

Staff Software Engineer

Microservices AI Developer

AI Engineer - RAG & Semantic Search

Full Stack Developer - Node.js + Angular (Desenvolvimento AI-First) - São Paulo/SP ou Cascavel/PR

Lead, AI Engineering

Network Security Analyst

Head of Quant

Senior Full-Stack Developer

Automation-Data Scientist / GenAI expert

Senior Forward Deployed Engineer - QuantumBlack Studio

Automation-Data Engineering / Analytics

Principal Data Scientist - QuantumBlack Studio

Software Engineer, Early Career (For Women in Tech Candidates)

QA Automation Engineer - Remote Work

Sênior Full Stack Developer - São Paulo ( SP) ou Porto Alegre (RS)

Especialista em Infraestrutura de TI (Data Center, Servidores e Storage)

Agentic AI Solutions Architect - Remote, Latin America

AI Engineer - Forward Deployed Engineer

Machine Learning Operations Engineer II

Eu quero receber o alerta de vagas mais recentes de stack developer (python) para diadema, sp

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