576 Empregos para Inteligência artificial - São Paulo

A Board Academy é um time apaixonado por inovação e transformação.
Somos uma empresa especializada na Formação, Desenvolvimento e Certificação de Conselheiros, criada para revolucionar o modelo tradicional de desenvolvimento de conselheiros. Nossa proposta é disruptiva e, ao mesmo tempo, busca democratizar o acesso às posições nos Conselhos de Empresas.

Acreditamos que a formação profissional é essencial para a disseminação das boas práticas de governança corporativa e pode ser um grande diferencial na geração de valor e no sucesso dos negócios.

Missão do Cargo

Buscamos um Deep Learning Engineer para atuar no desenvolvimento de soluções baseadas em inteligência artificial com foco em redes neurais profundas. Essa pessoa será responsável por estruturar, treinar e otimizar modelos de deep learning aplicados às nossas soluções educacionais, operacionais e estratégicas.

Se você tem paixão por IA, gosta de construir soluções escaláveis e quer gerar impacto real com tecnologia de ponta, essa vaga é para você!

Responsabilidades e Atribuições

• Desenvolver, treinar e implementar modelos de deep learning aplicados a problemas reais de negócio;
• Trabalhar com dados estruturados e não estruturados (texto, imagem, voz);
• Colaborar com times de produto, dados e negócios para identificar oportunidades de aplicação de IA;
• Monitorar e melhorar a performance de modelos em produção;
• Documentar processos e garantir reprodutibilidade e boas práticas de engenharia de IA;
• Acompanhar avanços da área e propor inovações tecnológicas para o Board AI.

#J-18808-Ljbffr

A Board Academy é um time apaixonado por inovação e transformação.
Somos uma empresa especializada na Formação, Desenvolvimento e Certificação de Conselheiros, criada para revolucionar o modelo tradicional de desenvolvimento de conselheiros. Nossa proposta é disruptiva e, ao mesmo tempo, busca democratizar o acesso às posições nos Conselhos de Empresas.

Acreditamos que a formação profissional é essencial para a disseminação das boas práticas de governança corporativa e pode ser um grande diferencial na geração de valor e no sucesso dos negócios.

 
Missão do Cargo

Buscamos um Deep Learning Engineer para atuar no desenvolvimento de soluções baseadas em inteligência artificial com foco em redes neurais profundas. Essa pessoa será responsável por estruturar, treinar e otimizar modelos de deep learning aplicados às nossas soluções educacionais, operacionais e estratégicas.

Se você tem paixão por IA, gosta de construir soluções escaláveis e quer gerar impacto real com tecnologia de ponta, essa vaga é para você!

 
Responsabilidades e Atribuições

• Desenvolver, treinar e implementar modelos de deep learning aplicados a problemas reais de negócio;
• Trabalhar com dados estruturados e não estruturados (texto, imagem, voz);
• Colaborar com times de produto, dados e negócios para identificar oportunidades de aplicação de IA;
• Monitorar e melhorar a performance de modelos em produção;
• Documentar processos e garantir reprodutibilidade e boas práticas de engenharia de IA;
• Acompanhar avanços da área e propor inovações tecnológicas para o Board AI.

Requisitos:

• Sólida experiência com desenvolvimento de modelos de deep learning (CNN, RNN, Transformers etc.);
• Domínio de bibliotecas como TensorFlow, PyTorch ou similares;
• Experiência prática com tratamento de dados, pré-processamento e pipelines de machine learning;
• Conhecimentos em MLOps, versionamento de modelos e deploy em ambientes de produção;
• Familiaridade com nuvens públicas (AWS, GCP ou Azure) e ferramentas de CI/CD;
• Diferencial: experiência com LLMs (Large Language Models) e NLP.

A Share People Hub em parceria com uma das maiores empresas multinacionais de tecnologia, busca por uma Pessoa Pesquisadora em Deep Learning, para atuação presencial em Campinas / SP.  

Responsável pela pesquisa e desenvolvimento envolvendo inteligência artificial, com preparação dos dados, reconhecimento de padrões, processamento de sinais, escolha dos modelos, execução de experimentos de aprendizado de máquina, avaliação de métricas de desempenho e análises estatísticas.

 Desafios da Posição | Principais Responsabilidades:

• Participar de projetos de P&D de Inteligência Artificial (IA), que têm o objetivo de produzir tecnologia inovadora para desenvolvimento de dispositivos móveis;
• Contribuir para a formulação de estratégia de P&D de IA da companhia;
• Acompanhamento e report para HQ:
• Entender, alinhar estratégias de IA e roteiros e requisitos de tecnologia correspondentes;
• Discutir e negociar novos projetos de IA;
• Relatar o progresso do projeto de IA;
• Refinar/ajustar as instruções sempre que necessário;
• Contribuir para a organização, sincronização e limpeza de dados de um conjunto de dispositivos;
• Analisar dados para entender o comportamento dos dispositivos utilizados (mineração de dados, visualização, etc.);
• Organizar dados para garantir alta qualidade para algoritmos de IA;
• Responsável pela análise de grandes volumes de dados buscando obter conhecimento a partir de dados, permitindo a geração de recomendações personalizadas para os usuários;
• Contribuir para a formulação de estratégia de P&D de IA da empresa.

Requisitos Necessários:

• Mestrado completo e doutorado completo ou em curso;
• Inglês avançado;
• Conhecimento em redes neurais profundas e suas aplicações em reconhecimento de padrões e processamento de sinais;
• Experiência em design e implementação de arquiteturas de redes neurais complexas para tarefas específicas, como classificação, regressão e geração de dados;
• Habilidade prática em otimizar redes neurais profundas para reduzir complexidade computacional e melhorar eficiência em dispositivos móveis e vestíveis;
• Conhecimento em programação avançado (Python, C/C++, R e Java); 
• Conhecimento em técnicas, algoritmos e bibliotecas de aprendizado de máquina aplicados a plataformas móveis e vestíveis;
• Publicação acadêmica e participação em conferências.

O que esperamos de você | Requisitos Comportamentais:

• Curiosidade e busca constante por novos aprendizados
• Visão analítica
• Comunicação e relacionamento interpessoal
• Organização

Modelo de Contratação: CLT

Benefícios:

• PLR
• Bonificação por resultado
• Assistência médica e odontológica
• Vale refeição
• Vale transporte, fretado ou táxi corporativo
• Estacionamento
• Auxílio creche
• Seguro de vida
• Celular corporativo
• Auxílio combustível
• Wellhub e Zen Club
• Certificações técnicas
• Além dos benefícios internos

Estamos em busca de um(a) Especialista em Deep Learning (Visão Computacional) para se juntar à nossa missão de combater fraudes de forma inovadora e eficiente. Para esta vaga, buscamos uma pessoa entusiasta por pesquisa e por aplicar o estado da arte em Inteligência Artificial para resolver problemas complexos. O foco principal do trabalho é a pesquisa constante de novas arquiteturas, modelos e estratégias que possam elevar o nível da nossa detecção de fraudes, principalmente as que envolvem análise de documentos e provas de vida (liveness detection).

Suas Responsabilidades:

Conduzir pesquisas aprofundadas sobre arquiteturas, modelos e técnicas de Deep Learning para a prevenção de fraudes.
Desenvolver e implementar soluções de Visão Computacional para análise de documentos e detecção de liveness.
Atuar ativamente na criação, curadoria e manutenção de datasets de alta qualidade para o treinamento de modelos.
Definir arquiteturas, treinar e otimizar modelos de deep learning, garantindo a melhor performance e acuracidade.
Avaliar de forma contínua o desempenho dos modelos em produção, identificando e corrigindo possíveis desvios ou oportunidades de melhoria.
Propor e executar novas abordagens e projetos, trazendo insights valiosos para a evolução constante dos nossos produtos de segurança.


Contratação PJ - Híbrido São Paulo - Brooklin

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Sobre a Área

Estamos buscando um(a) Cientista de Dados com sólida experiência em treinamento de arquiteturas baseadas em Transformers. Esta posição combina forte base conceitual em Deep Learning com experiência prática em desenvolvimento de Modelos Fundacionais (from scratch e fine-tuning) comTensorFlow e PyTorch.

Sobre a Área

Estamos buscando um(a) Cientista de Dados com sólida experiência em treinamento de arquiteturas baseadas em Transformers. Esta posição combina forte base conceitual em Deep Learning com experiência prática em desenvolvimento de Modelos Fundacionais (from scratch e fine-tuning) comTensorFlow e PyTorch.

No Seu Dia a Dia

• Projetar, implementar e produtizar modelos de deep learning baseados em Transformers para tarefas multimodais, utilizando bases de dados proprietárias.
• Otimizar modelos para desempenho, escalabilidade e eficiência de inferência.
• Conduzir experimentos, analisar resultados e iterar continuamente para melhorar a performance dos modelos.
• Desenvolver pipelines automatizadas para treinamento, implantação e retreino de modelos.
• Criar framework de avaliação e monitoramento dos modelos em produção.
• Manter-se atualizado com as pesquisas mais recentes em Deep Learning e Transformers.
• Criar pipelines de dados eficientes para ingestão nos modelos de larga escala.
  
  

Esperamos De Você

• Mestrado ou Doutorado em Ciência da Computação, Aprendizado de Máquina, Inteligência Artificial ou áreas relacionadas.
• Sólida compreensão de fundamentos de deep learning, com foco em arquiteturas Transformers: Encoder-only, Decoder-only, Encoder-decoder (ex.: BERT, BART, GPT, ViT).
• Proficiência em TensorFlow e PyTorch.
• Forte habilidade de programação em Python e familiaridade com bibliotecas e ferramentas de ML/DL (ex.: Hugging Face, CUDA).
• Experiência em treinamento de modelos com grandes volumes de dados, ajuste de hiperparâmetros e treinamento distribuído.
• Bom entendimento de pré-processamento de dados, engenharia de atributos e métricas de avaliação.
  
  

Benefícios

• Participação nos Lucros e Resultados (PLR);
• Auxílio Alimentação e Refeição;
• Plano Médico;
• Plano Odontológico;
• Auxílio Creche/Babá;
• Vale Transporte;
• WellHub;
• TotalPass;
• Programa de Apoio Pessoal (EAP);
• Planos por adesão como Previdência Privada e Seguro de Vida;
• Desconto em Farmácia;
• Programa de Nutrição;
• Programa de Gestantes;
• Licença Maternidade e Paternidade Estendida – empresa Cidadã.

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Join to apply for the Deep Learning Architect, AWS Gen AI Innovation Center role at Amazon Web Services (AWS)

Join to apply for the Deep Learning Architect, AWS Gen AI Innovation Center role at Amazon Web Services (AWS)

Get AI-powered advice on this job and more exclusive features.

Description

Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.

Description

Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.

The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently.

You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.

We’re looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems.

Key job responsibilities

• Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges
• Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production
• Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder
• Provide customer and market feedback to product and engineering teams to help define product direction
  
  

About The Team

Diverse Experiences

Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship and Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Basic Qualifications

• Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
• 3+ years of experience in designing, building, and/or operating cloud solutions in a production environment
• 2+ year experience hosting and deploying ML solutions (e.g., for training, fine tuning, and inference)
• 2+ years of hands on experience with Python to build, train, and evaluate models
• 2+ years of technical client engagement experience
• Ability to communicate in a business setting in English
  
  

Preferred Qualifications

• Masters or PhD degree in computer science, or related technical, math, or scientific field
• Strong working knowledge of deep learning, machine learning, generative AI, and statistics
• Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker
• Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
• Experience building cloud solutions with AWS
  
  

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.


Company - Amazon AWS Services Brazil Ltd

Job ID: A

Seniority level

• Seniority level Not Applicable

Employment type

• Employment type Full-time

Job function

• Job function Research, Science, and Engineering
• Industries IT Services and IT Consulting

Referrals increase your chances of interviewing at Amazon Web Services (AWS) by 2x

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Description
Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.
The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently.
You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.
We're looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems.
Key job responsibilities
- Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges
- Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production
- Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder
- Provide customer and market feedback to product and engineering teams to help define product direction
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
- 3+ years of experience in designing, building, and/or operating cloud solutions in a production environment
- 2+ year experience hosting and deploying ML solutions (e.g., for training, fine tuning, and inference)
- 2+ years of hands on experience with Python to build, train, and evaluate models
- 2+ years of technical client engagement experience
- Ability to communicate in a business setting in English
Preferred Qualifications
- Masters or PhD degree in computer science, or related technical, math, or scientific field
- Strong working knowledge of deep learning, machine learning, generative AI, and statistics
- Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Experience building cloud solutions with AWS
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real-world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.

The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost-efficiently.

You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.

We’re looking for top architects, system and software engineers capable of using ML, Generative AI, and other techniques to design, evangelize, implement, and fine-tune state-of-the-art solutions for never-before-solved problems.

Key job responsibilities

1. Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges.
2. Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers, and guide them on adoption patterns and paths to production.
3. Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders.
4. Provide customer and market feedback to product and engineering teams to help define product direction.

BASIC QUALIFICATIONS

- Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
- 5+ years of experience in designing, building, and/or operating cloud solutions in a production environment
- 4+ years experience hosting and deploying ML solutions (e.g., for training, fine-tuning, and inference)
- 4+ years of hands-on experience with Python to build, train, and evaluate models
- 4+ years of technical client engagement experience
- Ability to communicate in a business setting in English

PREFERRED QUALIFICATIONS

- Masters or PhD degree in computer science, or related technical, math, or scientific field
- 3+ years experience working with deep learning, machine learning, generative AI, or statistics
- Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker.
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Experience building cloud solutions with AWS

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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Description
Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.
The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently.
You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.
We're looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems.
Key job responsibilities
- Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges
- Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production
- Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder
- Provide customer and market feedback to product and engineering teams to help define product direction
A day in the life
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
- 5+ years of experience in designing, building, and/or operating cloud solutions in a production environment
- 4+ years experience hosting and deploying ML solutions (e.g., for training, fine tuning, and inference)
- 4+ years of hands on experience with Python to build, train, and evaluate models
- 4+ years of technical client engagement experience
- Ability to communicate in a business setting in English
Preferred Qualifications
- Masters or PhD degree in computer science, or related technical, math, or scientific field
- 3+ years experience working with deep learning, machine learning, generative AI, or statistics
- Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker.
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Experience building cloud solutions with AWS
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.