4.611 Empregos para IA E Tecnologias Emergentes - Brasil

Engenheiro (a) Sênior de Machine Learning

Sobre nós

Faça parte de uma equipe dinâmica e estimulante na unidade de negócios de I nt eligência Artificial (Chief AI Office) da Dell. Nossa equipe DOJO impulsiona a pesquisa e a engenharia para o futuro da Dell Technologies em um ambiente de alta visibilidade e alta colaboração.

Junte-se a nós como Engenheiro (a) Sênior de Machine Learning na equipe DOJO da organização de Inteligência Artificial (IA) da Dell em Eldorado do Sul /RS ou São Paulo/SP (presencial).

O que você conquistará

Como Engenheiro(a) de Machine Learning , você irá desenvolver e implementar modelos avançados de aprendizado de máquina, colaborar com equipes para integrar soluções em ambientes locais (on-premises) e aprimorar continuamente os modelos para alcançar o desempenho ideal.
Seu trabalho impulsionará a inovação e terá impacto direto nos negócios da empresa.

Você irá:

• Desenvolver e implementar modelos de aprendizado de máquina para resolver problemas complexos e melhorar nossos produtos

• Colaborar com equipes multifuncionais para integrar soluções de machine learning em sistemas de produção locais (on-premises)

• Realizar análise e pré-processamento de dados para garantir entradas de alta qualidade no treinamento dos modelos

• Monitorar continuamente e aprimorar os modelos para manter e melhorar seu desempenho

• Manter-se atualizado com os avanços mais recentes em aprendizado de máquina e aplicá-los aos nossos projetos

• Contribuir para o desenvolvimento de pipelines de machine learning escaláveis e eficientes, adaptados para ambientes locais (on-premises)

Requisitos Essenciais:

• Graduação ou Mestrado em Ciência da Computação, Engenharia, Matemática ou áreas afins; pós-graduação é um diferencial.

• Vivência comprovada no desenvolvimento e implantação de modelos de aprendizado de máquina.

• Forte domínio de Python e bibliotecas como TensorFlow, PyTorch e scikit-learn.

• Experiência com pré-processamento, engenharia de atributos e avaliação de modelos.

• Boa comunicação com públicos técnicos e não técnicos; conhecimento em virtualização (VMware, Hyper-V) e containerização (Docker, Kubernetes). .

Requisitos Desejáveis:

• Conhecimento em MLOps e IA Responsável: Familiaridade com práticas e ferramentas de MLOps para implantação e monitoramento de modelos. Compreensão de práticas éticas e responsáveis em inteligência artificial.

• Implantação de Soluções On-Premises: Experiência na implantação de soluções de aprendizado de máquina em ambientes locais (on-premises), incluindo conhecimento da infraestrutura de hardware e software relevante.

Quem somos

Acreditamos que cada pessoa tem o poder de gerar impacto. É por isso que colocamos as pessoas da nossa equipe no centro de tudo o que fazemos. Se você está procurando uma oportunidade de desenvolver a sua carreira em um ambiente de trabalho inclusivo e diverso, com a tecnologia mais avançada do setor, estamos procurando por você.

A Dell Technologies é uma família única de empresas que ajuda pessoas e organizações a transformar a forma como trabalham, vivem e se divertem. Junte-se a nós para construir um futuro que funcione para todas as pessoas, porque o progresso precisa de nós. 

Prazo para candidatura : 03 setembro de 2025.

A Dell Technologies está comprometida com o princípio de oportunidades iguais de emprego para todas as pessoas, e em fornecer às pessoas da equipe um ambiente de trabalho livre de discriminação e assédio. Leia a nossa Política de Oportunidades de Emprego aqui .

Engenheiro (a) Sênior de Machine Learning

Sobre nós

Faça parte de uma equipe dinâmica e estimulante na unidade de negócios de I nt eligência Artificial (Chief AI Office) da Dell. Nossa equipe DOJO impulsiona a pesquisa e a engenharia para o futuro da Dell Technologies em um ambiente de alta visibilidade e alta colaboração.

Junte-se a nós como Engenheiro (a) Sênior de Machine Learning na equipe DOJO da organização de Inteligência Artificial (IA) da Dell em Eldorado do Sul /RS ou São Paulo/SP (presencial).

O que você conquistará

Como Engenheiro(a) de Machine Learning , você irá desenvolver e implementar modelos avançados de aprendizado de máquina, colaborar com equipes para integrar soluções em ambientes locais (on-premises) e aprimorar continuamente os modelos para alcançar o desempenho ideal.
Seu trabalho impulsionará a inovação e terá impacto direto nos negócios da empresa.

Você irá:

• Desenvolver e implementar modelos de aprendizado de máquina para resolver problemas complexos e melhorar nossos produtos

• Colaborar com equipes multifuncionais para integrar soluções de machine learning em sistemas de produção locais (on-premises)

• Realizar análise e pré-processamento de dados para garantir entradas de alta qualidade no treinamento dos modelos

• Monitorar continuamente e aprimorar os modelos para manter e melhorar seu desempenho

• Manter-se atualizado com os avanços mais recentes em aprendizado de máquina e aplicá-los aos nossos projetos

• Contribuir para o desenvolvimento de pipelines de machine learning escaláveis e eficientes, adaptados para ambientes locais (on-premises)

Requisitos Essenciais:

• Graduação ou Mestrado em Ciência da Computação, Engenharia, Matemática ou áreas afins; pós-graduação é um diferencial.

• Vivência comprovada no desenvolvimento e implantação de modelos de aprendizado de máquina.

• Forte domínio de Python e bibliotecas como TensorFlow, PyTorch e scikit-learn.

• Experiência com pré-processamento, engenharia de atributos e avaliação de modelos.

• Boa comunicação com públicos técnicos e não técnicos; conhecimento em virtualização (VMware, Hyper-V) e containerização (Docker, Kubernetes). .

Requisitos Desejáveis:

• Conhecimento em MLOps e IA Responsável: Familiaridade com práticas e ferramentas de MLOps para implantação e monitoramento de modelos. Compreensão de práticas éticas e responsáveis em inteligência artificial.

• Implantação de Soluções On-Premises: Experiência na implantação de soluções de aprendizado de máquina em ambientes locais (on-premises), incluindo conhecimento da infraestrutura de hardware e software relevante.

Quem somos

Acreditamos que cada pessoa tem o poder de gerar impacto. É por isso que colocamos as pessoas da nossa equipe no centro de tudo o que fazemos. Se você está procurando uma oportunidade de desenvolver a sua carreira em um ambiente de trabalho inclusivo e diverso, com a tecnologia mais avançada do setor, estamos procurando por você.

A Dell Technologies é uma família única de empresas que ajuda pessoas e organizações a transformar a forma como trabalham, vivem e se divertem. Junte-se a nós para construir um futuro que funcione para todas as pessoas, porque o progresso precisa de nós. 

Prazo para candidatura : 03 setembro de 2025.

A Dell Technologies está comprometida com o princípio de oportunidades iguais de emprego para todas as pessoas, e em fornecer às pessoas da equipe um ambiente de trabalho livre de discriminação e assédio. Leia a nossa Política de Oportunidades de Emprego aqui .

Engenheiro (a) Sênior de Machine Learning

Sobre nós

Faça parte de uma equipe dinâmica e estimulante na unidade de negócios de I nt eligência Artificial (Chief AI Office) da Dell. Nossa equipe DOJO impulsiona a pesquisa e a engenharia para o futuro da Dell Technologies em um ambiente de alta visibilidade e alta colaboração.

Junte-se a nós como Engenheiro (a) Sênior de Machine Learning na equipe DOJO da organização de Inteligência Artificial (IA) da Dell em Eldorado do Sul /RS ou São Paulo/SP (presencial).

O que você conquistará

Como Engenheiro(a) de Machine Learning , você irá desenvolver e implementar modelos avançados de aprendizado de máquina, colaborar com equipes para integrar soluções em ambientes locais (on-premises) e aprimorar continuamente os modelos para alcançar o desempenho ideal.
Seu trabalho impulsionará a inovação e terá impacto direto nos negócios da empresa.

Você irá:

• Desenvolver e implementar modelos de aprendizado de máquina para resolver problemas complexos e melhorar nossos produtos

• Colaborar com equipes multifuncionais para integrar soluções de machine learning em sistemas de produção locais (on-premises)

• Realizar análise e pré-processamento de dados para garantir entradas de alta qualidade no treinamento dos modelos

• Monitorar continuamente e aprimorar os modelos para manter e melhorar seu desempenho

• Manter-se atualizado com os avanços mais recentes em aprendizado de máquina e aplicá-los aos nossos projetos

• Contribuir para o desenvolvimento de pipelines de machine learning escaláveis e eficientes, adaptados para ambientes locais (on-premises)

Requisitos Essenciais:

• Graduação ou Mestrado em Ciência da Computação, Engenharia, Matemática ou áreas afins; pós-graduação é um diferencial.

• Vivência comprovada no desenvolvimento e implantação de modelos de aprendizado de máquina.

• Forte domínio de Python e bibliotecas como TensorFlow, PyTorch e scikit-learn.

• Experiência com pré-processamento, engenharia de atributos e avaliação de modelos.

• Boa comunicação com públicos técnicos e não técnicos; conhecimento em virtualização (VMware, Hyper-V) e containerização (Docker, Kubernetes). .

Requisitos Desejáveis:

• Conhecimento em MLOps e IA Responsável: Familiaridade com práticas e ferramentas de MLOps para implantação e monitoramento de modelos. Compreensão de práticas éticas e responsáveis em inteligência artificial.

• Implantação de Soluções On-Premises: Experiência na implantação de soluções de aprendizado de máquina em ambientes locais (on-premises), incluindo conhecimento da infraestrutura de hardware e software relevante.

Quem somos

Acreditamos que cada pessoa tem o poder de gerar impacto. É por isso que colocamos as pessoas da nossa equipe no centro de tudo o que fazemos. Se você está procurando uma oportunidade de desenvolver a sua carreira em um ambiente de trabalho inclusivo e diverso, com a tecnologia mais avançada do setor, estamos procurando por você.

A Dell Technologies é uma família única de empresas que ajuda pessoas e organizações a transformar a forma como trabalham, vivem e se divertem. Junte-se a nós para construir um futuro que funcione para todas as pessoas, porque o progresso precisa de nós. 

Prazo para candidatura : 03 setembro de 2025.

A Dell Technologies está comprometida com o princípio de oportunidades iguais de emprego para todas as pessoas, e em fornecer às pessoas da equipe um ambiente de trabalho livre de discriminação e assédio. Leia a nossa Política de Oportunidades de Emprego aqui .

Senior MLOps Engineer

The AI-Centric Engineering unit is a fast paced and exhilarating part of the Dell Technologies Office of the CTO. We drive research and engineering for the future of Dell Technologies in a high-visibility and high-collaboration environment. 

Our team is specialized in developing advanced generative AI solutions that empower businesses to innovate, communicate, and optimize operations in ways never before possible, composed of passionate individuals who are dedicated to pushing the boundaries of AI technology.

Join us to do the best work of your career and make a profound social impact as a Senior MLOps Engineer in our team in Brazil (São Paulo/SP or Eldorado do Sul/RS).

What you’ll achieve

If you're passionate about deploying and managing machine learning models at scale, optimizing pipelines, and ensuring the reliability of our AI systems, we want to hear from you.

You will:

• Design, implement, and manage robust MLOps pipelines for deploying, monitoring, and maintaining machine learning models in production environments.
• Collaborate with cross-functional teams, including data scientists, software engineers, and DevOps, to ensure seamless integration of ML models into existing systems and processes.
• Continuously improve the CI/CD processes to automate model training, evaluation, and deployment.
• Implement and maintain monitoring solutions to track model performance, data quality, and system reliability.
• Troubleshoot and resolve issues related to machine learning infrastructure and pipelines.
• Keep abreast of the latest trends and best practices in MLOps and contribute to the evolution of our ML deployment strategies.

Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:

Essential Requirements

• Bachelor's degree or higher in Computer Science, Engineering, or a related field. Advanced degrees are a plus. Written and spoken English.
• Strong experience in MLOps or a related field.
• Proficiency in deploying and managing machine learning models using tools like Kubernetes, Docker, and orchestration platforms (e.g., Kubernetes, Apache Airflow).
• Strong programming skills in languages like Python, and experience with version control systems (e.g., Git).
• Solid understanding of containerization, virtualization, and infrastructure as code (IaC) principles. Experience with monitoring and logging tools (e.g., Prometheus, ELK stack)

Desirable Requirements

• Experience with ML frameworks (e.g., TensorFlow, PyTorch) and data processing libraries (e.g., pandas, NumPy). Knowledge of security best practices in ML deployments.
• Previous experience with CI/CD pipelines and automated testing for ML models. Familiarity with ML model deployment orchestration platforms like MLflow or Kubeflow.

Who we are

We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.

Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.

Application closing date: 08 September 2025

Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here .

Senior MLOps Engineer

The AI-Centric Engineering unit is a fast paced and exhilarating part of the Dell Technologies Office of the CTO. We drive research and engineering for the future of Dell Technologies in a high-visibility and high-collaboration environment. 

Our team is specialized in developing advanced generative AI solutions that empower businesses to innovate, communicate, and optimize operations in ways never before possible, composed of passionate individuals who are dedicated to pushing the boundaries of AI technology.

Join us to do the best work of your career and make a profound social impact as a Senior MLOps Engineer in our team in Brazil (São Paulo/SP or Eldorado do Sul/RS).

What you’ll achieve

If you're passionate about deploying and managing machine learning models at scale, optimizing pipelines, and ensuring the reliability of our AI systems, we want to hear from you.

You will:

• Design, implement, and manage robust MLOps pipelines for deploying, monitoring, and maintaining machine learning models in production environments.
• Collaborate with cross-functional teams, including data scientists, software engineers, and DevOps, to ensure seamless integration of ML models into existing systems and processes.
• Continuously improve the CI/CD processes to automate model training, evaluation, and deployment.
• Implement and maintain monitoring solutions to track model performance, data quality, and system reliability.
• Troubleshoot and resolve issues related to machine learning infrastructure and pipelines.
• Keep abreast of the latest trends and best practices in MLOps and contribute to the evolution of our ML deployment strategies.

Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:

Essential Requirements

• Bachelor's degree or higher in Computer Science, Engineering, or a related field. Advanced degrees are a plus. Written and spoken English.
• Strong experience in MLOps or a related field.
• Proficiency in deploying and managing machine learning models using tools like Kubernetes, Docker, and orchestration platforms (e.g., Kubernetes, Apache Airflow).
• Strong programming skills in languages like Python, and experience with version control systems (e.g., Git).
• Solid understanding of containerization, virtualization, and infrastructure as code (IaC) principles. Experience with monitoring and logging tools (e.g., Prometheus, ELK stack)

Desirable Requirements

• Experience with ML frameworks (e.g., TensorFlow, PyTorch) and data processing libraries (e.g., pandas, NumPy). Knowledge of security best practices in ML deployments.
• Previous experience with CI/CD pipelines and automated testing for ML models. Familiarity with ML model deployment orchestration platforms like MLflow or Kubeflow.

Who we are

We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.

Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.

Application closing date: 08 September 2025

Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here .

Senior MLOps Engineer

The AI-Centric Engineering unit is a fast paced and exhilarating part of the Dell Technologies Office of the CTO. We drive research and engineering for the future of Dell Technologies in a high-visibility and high-collaboration environment. 

Our team is specialized in developing advanced generative AI solutions that empower businesses to innovate, communicate, and optimize operations in ways never before possible, composed of passionate individuals who are dedicated to pushing the boundaries of AI technology.

Join us to do the best work of your career and make a profound social impact as a Senior MLOps Engineer in our team in Brazil (São Paulo/SP or Eldorado do Sul/RS).

What you’ll achieve

If you're passionate about deploying and managing machine learning models at scale, optimizing pipelines, and ensuring the reliability of our AI systems, we want to hear from you.

You will:

• Design, implement, and manage robust MLOps pipelines for deploying, monitoring, and maintaining machine learning models in production environments.
• Collaborate with cross-functional teams, including data scientists, software engineers, and DevOps, to ensure seamless integration of ML models into existing systems and processes.
• Continuously improve the CI/CD processes to automate model training, evaluation, and deployment.
• Implement and maintain monitoring solutions to track model performance, data quality, and system reliability.
• Troubleshoot and resolve issues related to machine learning infrastructure and pipelines.
• Keep abreast of the latest trends and best practices in MLOps and contribute to the evolution of our ML deployment strategies.

Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:

Essential Requirements

• Bachelor's degree or higher in Computer Science, Engineering, or a related field. Advanced degrees are a plus. Written and spoken English.
• Strong experience in MLOps or a related field.
• Proficiency in deploying and managing machine learning models using tools like Kubernetes, Docker, and orchestration platforms (e.g., Kubernetes, Apache Airflow).
• Strong programming skills in languages like Python, and experience with version control systems (e.g., Git).
• Solid understanding of containerization, virtualization, and infrastructure as code (IaC) principles. Experience with monitoring and logging tools (e.g., Prometheus, ELK stack)

Desirable Requirements

• Experience with ML frameworks (e.g., TensorFlow, PyTorch) and data processing libraries (e.g., pandas, NumPy). Knowledge of security best practices in ML deployments.
• Previous experience with CI/CD pipelines and automated testing for ML models. Familiarity with ML model deployment orchestration platforms like MLflow or Kubeflow.

Who we are

We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.

Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.

Application closing date: 08 September 2025

Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here .

Senior MLOps Engineer

The AI-Centric Engineering unit is a fast paced and exhilarating part of the Dell Technologies Office of the CTO. We drive research and engineering for the future of Dell Technologies in a high-visibility and high-collaboration environment. 

Our team is specialized in developing advanced generative AI solutions that empower businesses to innovate, communicate, and optimize operations in ways never before possible, composed of passionate individuals who are dedicated to pushing the boundaries of AI technology.

Join us to do the best work of your career and make a profound social impact as a Senior MLOps Engineer in our team in Brazil (São Paulo/SP or Eldorado do Sul/RS).

What you’ll achieve

If you're passionate about deploying and managing machine learning models at scale, optimizing pipelines, and ensuring the reliability of our AI systems, we want to hear from you.

You will:

• Design, implement, and manage robust MLOps pipelines for deploying, monitoring, and maintaining machine learning models in production environments.
• Collaborate with cross-functional teams, including data scientists, software engineers, and DevOps, to ensure seamless integration of ML models into existing systems and processes.
• Continuously improve the CI/CD processes to automate model training, evaluation, and deployment.
• Implement and maintain monitoring solutions to track model performance, data quality, and system reliability.
• Troubleshoot and resolve issues related to machine learning infrastructure and pipelines.
• Keep abreast of the latest trends and best practices in MLOps and contribute to the evolution of our ML deployment strategies.

Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:

Essential Requirements

• Bachelor's degree or higher in Computer Science, Engineering, or a related field. Advanced degrees are a plus. Written and spoken English.
• Strong experience in MLOps or a related field.
• Proficiency in deploying and managing machine learning models using tools like Kubernetes, Docker, and orchestration platforms (e.g., Kubernetes, Apache Airflow).
• Strong programming skills in languages like Python, and experience with version control systems (e.g., Git).
• Solid understanding of containerization, virtualization, and infrastructure as code (IaC) principles. Experience with monitoring and logging tools (e.g., Prometheus, ELK stack)

Desirable Requirements

• Experience with ML frameworks (e.g., TensorFlow, PyTorch) and data processing libraries (e.g., pandas, NumPy). Knowledge of security best practices in ML deployments.
• Previous experience with CI/CD pipelines and automated testing for ML models. Familiarity with ML model deployment orchestration platforms like MLflow or Kubeflow.

Who we are

We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.

Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.

Application closing date: 08 September 2025

Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here .

Senior MLOps Engineer

The AI-Centric Engineering unit is a fast paced and exhilarating part of the Dell Technologies Office of the CTO. We drive research and engineering for the future of Dell Technologies in a high-visibility and high-collaboration environment. 

Our team is specialized in developing advanced generative AI solutions that empower businesses to innovate, communicate, and optimize operations in ways never before possible, composed of passionate individuals who are dedicated to pushing the boundaries of AI technology.

Join us to do the best work of your career and make a profound social impact as a Senior MLOps Engineer in our team in Brazil (São Paulo/SP or Eldorado do Sul/RS).

What you’ll achieve

If you're passionate about deploying and managing machine learning models at scale, optimizing pipelines, and ensuring the reliability of our AI systems, we want to hear from you.

You will:

• Design, implement, and manage robust MLOps pipelines for deploying, monitoring, and maintaining machine learning models in production environments.
• Collaborate with cross-functional teams, including data scientists, software engineers, and DevOps, to ensure seamless integration of ML models into existing systems and processes.
• Continuously improve the CI/CD processes to automate model training, evaluation, and deployment.
• Implement and maintain monitoring solutions to track model performance, data quality, and system reliability.
• Troubleshoot and resolve issues related to machine learning infrastructure and pipelines.
• Keep abreast of the latest trends and best practices in MLOps and contribute to the evolution of our ML deployment strategies.

Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:

Essential Requirements

• Bachelor's degree or higher in Computer Science, Engineering, or a related field. Advanced degrees are a plus. Written and spoken English.
• Strong experience in MLOps or a related field.
• Proficiency in deploying and managing machine learning models using tools like Kubernetes, Docker, and orchestration platforms (e.g., Kubernetes, Apache Airflow).
• Strong programming skills in languages like Python, and experience with version control systems (e.g., Git).
• Solid understanding of containerization, virtualization, and infrastructure as code (IaC) principles. Experience with monitoring and logging tools (e.g., Prometheus, ELK stack)

Desirable Requirements

• Experience with ML frameworks (e.g., TensorFlow, PyTorch) and data processing libraries (e.g., pandas, NumPy). Knowledge of security best practices in ML deployments.
• Previous experience with CI/CD pipelines and automated testing for ML models. Familiarity with ML model deployment orchestration platforms like MLflow or Kubeflow.

Who we are

We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.

Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.

Application closing date: 08 September 2025

Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here .

Senior MLOps Engineer

The AI-Centric Engineering unit is a fast paced and exhilarating part of the Dell Technologies Office of the CTO. We drive research and engineering for the future of Dell Technologies in a high-visibility and high-collaboration environment. 

Our team is specialized in developing advanced generative AI solutions that empower businesses to innovate, communicate, and optimize operations in ways never before possible, composed of passionate individuals who are dedicated to pushing the boundaries of AI technology.

Join us to do the best work of your career and make a profound social impact as a Senior MLOps Engineer in our team in Brazil (São Paulo/SP or Eldorado do Sul/RS).

What you’ll achieve

If you're passionate about deploying and managing machine learning models at scale, optimizing pipelines, and ensuring the reliability of our AI systems, we want to hear from you.

You will:

• Design, implement, and manage robust MLOps pipelines for deploying, monitoring, and maintaining machine learning models in production environments.
• Collaborate with cross-functional teams, including data scientists, software engineers, and DevOps, to ensure seamless integration of ML models into existing systems and processes.
• Continuously improve the CI/CD processes to automate model training, evaluation, and deployment.
• Implement and maintain monitoring solutions to track model performance, data quality, and system reliability.
• Troubleshoot and resolve issues related to machine learning infrastructure and pipelines.
• Keep abreast of the latest trends and best practices in MLOps and contribute to the evolution of our ML deployment strategies.

Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:

Essential Requirements

• Bachelor's degree or higher in Computer Science, Engineering, or a related field. Advanced degrees are a plus. Written and spoken English.
• Strong experience in MLOps or a related field.
• Proficiency in deploying and managing machine learning models using tools like Kubernetes, Docker, and orchestration platforms (e.g., Kubernetes, Apache Airflow).
• Strong programming skills in languages like Python, and experience with version control systems (e.g., Git).
• Solid understanding of containerization, virtualization, and infrastructure as code (IaC) principles. Experience with monitoring and logging tools (e.g., Prometheus, ELK stack)

Desirable Requirements

• Experience with ML frameworks (e.g., TensorFlow, PyTorch) and data processing libraries (e.g., pandas, NumPy). Knowledge of security best practices in ML deployments.
• Previous experience with CI/CD pipelines and automated testing for ML models. Familiarity with ML model deployment orchestration platforms like MLflow or Kubeflow.

Who we are

We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.

Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.

Application closing date: 08 September 2025

Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here .