Senior AI Engineer
Flutter Entertainment —Remoto
- Home Office
- Banco de Dados
- Machine Learning
- APIs
Candidatura rápida
Senior ML Engineer (LLMs, AWS)
Provectus —Rio Grande do Sul
- Tempo integral
- Home Office
- Inglês
- Matemática
- Machine Learning
Candidatura rápida
[Job 29881] Senior Machine Learning Engineer (AI), Brazil
CI&T —Remoto
- Home Office
- Banco de Dados
- SQL
- Machine Learning
- Participação nos lucros
- Assistência médica
Candidatura rápida
Há 1 dia
Senior AI Platform Engineer
Wellhub —São Paulo, SP
- Meio período
- Home Office
- Bar
- DevOps
- APIs
- Trabalho remoto
- Horário flexível
Candidatura rápida
Há 13 dias
Senior Machine Learning Engineer
N-iX —Rondônia
- Home Office
- SQL
- Machine Learning
- Melhoria Contínua
Candidatura rápida
Há 3 dias
MLOps Data Engineer| Senior (Remote)
Compass UOL —Remoto
- Home Office
- AWS
- Machine Learning
- APIs
Senior MLOps Engineer
Wellhub —Remoto
- Meio período
- Home Office
- Bar
- DevOps
- APIs
- Trabalho remoto
- Horário flexível
Candidatura rápida
13 h
Oracle GoldenGate Data Engineer | Senior (Remote)
Compass UOL —Remoto
- Home Office
- Ciência da Computação
- Azure
- Oracle
Data Scientist - Gen AI Engineer
Capgemini Sogeti —Colombo, PR
- Azure
- Inglês
- APIs
Há 2 dias
ML Ops Engineer Sr
Ucloud —São Paulo, SP
- Machine Learning
- Inteligência artificial
- Liderança
Candidatura rápida
Há 14 dias
Applied AI Engineer (Automation)
Fusemachines —Remoto
- Tempo integral
- Home Office
- Azure
- Gestão
- Doutorado
Engenheiro LLMs & Generative AI
Maitha Tech —Estado de São Paulo
- Banco de Dados
- Inteligência artificial
- Liderança
[Job - 29381] Senior Machine Learning Engineer, Brazil
CI&T —Remoto
- Home Office
- Banco de Dados
- SQL
- Machine Learning
- Participação nos lucros
- Assistência médica
Candidatura rápida
Há 10 dias
ML Ops Engineer S.Sr
Ucloud —São Paulo, SP
- Machine Learning
- Inteligência artificial
- Python
Candidatura rápida
Há 14 dias
AI Engineer Sr
Ucloud —São Paulo, SP
- Banco de Dados
- APIs
- Inteligência artificial
Candidatura rápida
Há 14 dias
Senior Software Developer (AI focused) - 6 month contract
Zipdev —Estado de São Paulo
- Home Office
- Ciência da Computação
- Azure
- Gestão
- Trabalho remoto
Candidatura rápida
22 h
ML Ops Engineer JR
Ucloud —São Paulo, SP
- DevOps
- Machine Learning
- Inteligência artificial
Candidatura rápida
Há 14 dias
Fullstack Engineer
Monks —São Paulo, SP
- Home Office
- Gestão
- Banco de Dados
- APIs
Candidatura rápida
Latin America AIML Data Scientist (Decision Intelligence)
Apple —São Paulo, SP
- Gestão
- Doutorado
- Ciência da Computação
Há 1 dia
AI Engineer S. Sr
Ucloud —São Paulo, SP
- Banco de Dados
- Machine Learning
- APIs
Candidatura rápida
Há 14 dias

Eu quero receber o alerta de vagas mais recentes de senior ai/ml engineer para brazil

Ao acessar sua conta, você concorda com os Termos de Serviço do SimplyHired e consente com a nossa Política de Cookies e de Privacidade.

Senior AI Engineer

Flutter Entertainment -
Remoto

Candidatura rápida

Detalhes da vaga

Qualificações

TensorFlow
PyTorch
Certificação AWS
Banco de Dados
Machine Learning
APIs
Inteligência artificial
Python

Descrição completa da vaga

Overview of the role:

As a Senior AI Engineer at Flutter Brazil, you will lead the design, development, and deployment of AI-driven solutions that power intelligent products and enhance decision-making across the organization. You will work at the intersection of machine learning, software engineering, and large-scale systems — helping to transform business challenges into scalable, production-ready AI capabilities.
You will collaborate closely with Data Science, Engineering, Product, and Platform teams to build the next generation of AI applications, including predictive models, LLM-based systems, recommendation engines, real-time decision frameworks, and automation agents. This role is ideal for someone who combines deep ML/AI expertise with strong engineering fundamentals and a passion for experimentation and innovation.

What you’ll do:

Design, build, and deploy machine learning and AI systems at scale, ensuring high reliability, performance, and maintainability.
Work with Data Scientists to productionize models, transforming prototypes into robust real-time or batch pipelines.
Leverage LLMs, multi-agent frameworks (e.g., CrewAI) and modern AI orchestration tools to build intelligent automation and decision systems.
Develop APIs, microservices, and data pipelines that serve AI models and integrate with core platform components.
Implement monitoring, observability, and continuous evaluation strategies to ensure models and agents remain accurate and stable in production.
Optimize models and systems for performance, latency, and cost, including distributed inference strategies.
Collaborate with Product, Engineering, Analytics, and Platform teams to identify AI opportunities and define technical requirements.
Contribute to architecture discussions, engineering best practices, and internal frameworks for scalable AI operations.
Stay up to date with advancements in LLMs, generative AI, agent frameworks, vector databases, and model-serving technologies — bringing innovative solutions to the team.

What you’ll bring:

You combine deep machine learning expertise with strong engineering skills and a strategic mindset. You enjoy solving complex problems, leading technical discussions, and building AI systems that generate real business impact.

We require a candidate who has achieved or is capable of the following:

5+ years of experience in Machine Learning, AI Engineering, or Applied ML roles, with production experience.
Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, JAX, or similar.
Deep understanding of ML fundamentals: model development, evaluation, optimization, and deployment.
Experience with LLMs, embeddings, RAG, multi-agent systems, and orchestration frameworks (CrewAI, MCPs, etc.).
Experience building and maintaining AI pipelines and agent-based architectures.
Solid experience with cloud environments (AWS preferred), including services for compute, data, orchestration, and monitoring.
Familiarity with distributed computing or modern distributed inference frameworks.
Experience with CI/CD, automation, and modern AI tooling — preferably agent orchestration, model routers, vector stores, and LLM deployment workflows rather than Spark/MLflow-heavy environments.
Strong communication skills and ability to collaborate with cross-functional teams.
Ability to operate in a dynamic environment, driving solutions from conception to production with autonomy.

It’s ok if you don’t think you tick every box on this list. We love people who want to challenge themselves and are passionate about what they do. If you believe you can contribute in some areas and are eager to learn, we encourage you to apply.

Benefits:

✨ Competitive compensation
Access to TotalPass
️ Paid time off
Remote environment
Growth and learning opportunities through the Flutter Edge global network

Candidatura rápida

Refine sua pesquisa

senior ai/ml engineer vagas para: brazil

Senior AI Engineer

Senior ML Engineer (LLMs, AWS)

[Job 29881] Senior Machine Learning Engineer (AI), Brazil

Senior AI Platform Engineer

Senior Machine Learning Engineer

MLOps Data Engineer| Senior (Remote)

Senior MLOps Engineer

Oracle GoldenGate Data Engineer | Senior (Remote)

Data Scientist - Gen AI Engineer

ML Ops Engineer Sr

Applied AI Engineer (Automation)

Engenheiro LLMs & Generative AI

[Job - 29381] Senior Machine Learning Engineer, Brazil

ML Ops Engineer S.Sr

AI Engineer Sr

Senior Software Developer (AI focused) - 6 month contract

ML Ops Engineer JR

Fullstack Engineer

Latin America AIML Data Scientist (Decision Intelligence)

AI Engineer S. Sr

Eu quero receber o alerta de vagas mais recentes de senior ai/ml engineer para brazil

Overview of the role:

What you’ll do:

What you’ll bring:

We require a candidate who has achieved or is capable of the following:

Benefits:

Ferramentas para candidatos

Ferramentas da empresa

Pesquisar

Mantenha o contato