Senior MLOps EngineerThe 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 achieveIf 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 careerEvery Dell Technologies team member brings something unique to the table.
Here's what we are looking for with this role:Essential RequirementsBachelor'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 RequirementsExperience 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 areWe 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 2025Dell 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.Job ID:R273444