20 melhores vagas de home office para amazonas (Contratando agora!)

Senior ML Engineer (LLMs, AWS)
Provectus —Amazonas
- Tempo integral
- Home Office
- Inglês
- Matemática
- Machine Learning
Candidatura rápida
Há 10 dias
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- R$ 1.621,00 – R$ 2.015,59 por mês
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CommIT —Amazonas
- Tempo integral
- Home Office
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- Ciência da Computação
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DevOps Engineer - Remote, Latin America
Bluelight Consulting —Manaus, AM
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- Home Office
- Azure
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React Native Developer (Latin America, Remote position)
Bluelight Consulting —Manaus, AM
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- Home Office
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- JavaScript
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Security Backend Engineer
CommIT —Amazonas
- Tempo integral
- Home Office
- Inglês
- Pesquisa
- Banco de Dados
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Bluelight Consulting —Manaus, AM
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- JavaScript
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Agentic AI Solutions Architect - Remote, Latin America
Bluelight Consulting —Manaus, AM
- Tempo integral
- Home Office
- Azure
- Inglês
- SQL
Há 5 dias
Desenvolvedor Android Sênior (Mobile)
SiDi —Manaus, AM
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SERVIS ELETRONICA DEFENSE LTDA —Manaus, AM
Consultor Comercial
TRACBEL SA —Manaus, AM
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Embedded Senior Hardware Engineer
CommIT —Amazonas
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- C++
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Senior Backend Engineer
Tabby —Amazonas
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- Inglês
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Há 13 dias
Analista de Requisitos de Software – PhD
SiDi —Manaus, AM
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- Gestão
- Doutorado
- Inglês
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- Trabalho remoto
Senior Backend Engineer II
Tabby —Amazonas
- Tempo integral
- Home Office
- CRM software
- Inglês
- Inteligência artificial
Candidatura rápida
Há 5 dias
ADVOGADO(A) CÍVEL PLENO
Radar - Gestão para Advogados —Manaus, AM
- R$ 6.000 por mês
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- Habilidade de Escrita
- Graduação
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Senior Python Engineer (GenAI & LLM Orchestration)
Provectus —Amazonas
- Tempo integral
- Home Office
- Inglês
- Banco de Dados
- SQL
Candidatura rápida
Desenvolvedor de Software Sênior (IA for Mobile Security)
SiDi —Manaus, AM
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- Home Office
- Ciência da Computação
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- Assistência médica
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Há 2 dias
Business Development Representative, Remote, Latin America
Bluelight Consulting —Manaus, AM
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- Home Office
- CRM software
- Vendas
- Salesforce
Técnico de HVAC III
Bosch-HomeComfort —Manaus, AM
- Tempo integral
- Gestão de estoque
- Manutenção
- Limpeza
- Participação nos lucros
- Assistência médica
Candidatura rápida

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Senior ML Engineer (LLMs, AWS)

Provectus -
Amazonas

Candidatura rápida

Detalhes da vaga

Tempo integral
Há 10 dias

Qualificações

Certificação AWS
Inglês
Matemática
Docker
Machine Learning
Deep learning
NLP
S3
Inteligência artificial
Python

Descrição completa da vaga

Join us at Provectus to be a part of a team that is dedicated to building cutting-edge technology solutions that have a positive impact on society. Our company specializes in AI and ML technologies, cloud services, and data engineering, and we take pride in our ability to innovate and push the boundaries of what's possible.

As an ML Engineer, you’ll be provided with all opportunities for development and growth.

Let's work together to build a better future for everyone!

Requirements:

Comfortable with standard ML algorithms and underlying math.
Strong hands-on experience with LLMs in production, RAG architecture, and agentic systems
AWS Bedrock experience strongly preferred
Practical experience with solving classification and regression tasks in general, feature engineering.
Practical experience with ML models in production.
Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines.
Solid software engineering skills (i.e., ability to produce well-structured modules, not only notebook scripts).
Python expertise, Docker.
English level - strong upper- intermediate.
Excellent communication and problem-solving skills.

Will be a plus:

Practical experience with cloud platforms (AWS stack is preferred, e.g. Amazon SageMaker, ECR, EMR, S3, AWS Lambda).
Practical experience with deep learning models.
Experience with taxonomies or ontologies.
Practical experience with machine learning pipelines to orchestrate complicated workflows.
Practical experience with Spark/Dask, Great Expectations.

Responsibilities:

Create ML models from scratch or improve existing models.
Collaborate with the engineering team, data scientists, and product managers on production models.
Develop experimentation roadmap.
Set up a reproducible experimentation environment and maintain experimentation pipelines.
Monitor and maintain ML models in production to ensure optimal performance.
Write clear and comprehensive documentation for ML models, processes, and pipelines.
Stay updated with the latest developments in ML and AI and propose innovative solutions.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Candidatura rápida

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home office vagas para: amazonas

Senior ML Engineer (LLMs, AWS)

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ADVOGADO(A) CÍVEL PLENO

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Técnico de HVAC III

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