Dell Senior Advisor Machine Learning Engineer 

Brazil, São Paulo, São Paulo 

732609693

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