Senior Advisor Machine Learning Engineer jobs at Dell in Brazil, São Paulo

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.

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.

08 September 2025

What you’ll achieve

As a Generative AI Specialist, you will be responsible for working with large language models. You will play a critical role in developing, fine-tuning, and deploying these models to address a wide range of applications and industries.

You will:

• Collaborate with cross-functional teams to understand project requirements and develop tailored solutions using generative AI models.
• Fine-tune and customize large language models for specific tasks and industries.
• Stay up to date with the latest advancements in generative AI research and apply cutting-edge techniques to enhance model performance.
• Optimize models for deployment in various environments, including cloud-based solutions and edge devices.
• Conduct thorough testing, validation, and performance evaluation of generative AI solutions.
• Provide technical expertise and guidance to internal teams and clients on generative AI best practices.

Essential Requirements

• Bachelor's degree or higher in Computer Science, Artificial Intelligence, or a related field. Advanced degrees are a plus.
• Proven experience working with large language models.
• Strong programming skills in Python and proficiency with relevant libraries and frameworks (e.g., TensorFlow, PyTorch).
• Experience in fine-tuning and customizing pre-trained models for specific applications.
• Familiarity with natural language processing (NLP) techniques and applications.
• Solid understanding of machine learning concepts and deep learning architectures.
• Written and spoken English.

Desirable Requirements

• Experience with model deployment in production environments.
• Understanding of ethical and responsible AI practices.

Sept 6, 2025

You will:

• Work collaboratively with other engineers as part of a cross-functional team and interact with product management and leadership to influence decisions and share your work.
• Contribute valuable insights, create proofs of concept, and develop products to test new technologies.
• Explore a variety of technologies across multiple projects, constantly expanding your skills and knowledge.

Essential Requirements

• Programming Languages : Experience in two or more of the following languages: Go, Java, Ruby, JavaScript, C++, Bash, Python, C, or others.
• Testing Methodologies : Good understanding and experience with TDD methodology, including Unit Testing, Test Automation, and Performance Testing.
• Extreme Programming (XP) : Experience in Extreme Programming practices.
• DevOps and CI/CD : Experience in DevOps, working with CI/CD platforms for continuous build and automated deployment using tools like Kubernetes, Docker, and Apache Airflow.
• AI and Communication Skills : Interest in AI solutions and proficiency in written and spoken English

Desirable Requirements

• Bachelor's, Master's or PhD degree in software development, software architecture or applied research.

27 August 2025