Senior Machine Learning Engineer

Senior Machine Learning Engineer

About us

The AI-Centric Engineering is a fast paced and exhilarating part of the Dell Office of the CTO (OCTO). 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 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 Machine Learning Engineer in our team in Brazil.

What you’ll achieve

As a Machine Learning Engineer, you will develop and deploy advanced machine learning models, collaborate with teams to integrate solutions on-premises, and continuously refine models for optimal performance. Your work will drive innovation and directly impact our business.

You Will:

• Develop and deploy machine learning models to solve complex problems and improve our products.
• Collaborate with cross-functional teams to integrate machine learning solutions into on-premises production systems.
• Conduct data analysis and preprocessing to ensure high-quality input for model training.
• Continuously monitor and refine models to maintain and improve their performance.
• Stay up-to-date with the latest advancements in machine learning and apply them to our projects.
• Contribute to the development of scalable and efficient machine learning pipelines tailored for on-premises environments.

Essential Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field. Advanced degrees are a plus. Proven experience in developing and deploying machine learning models.
• Strong programming skills in Python and familiarity with libraries such as TensorFlow, PyTorch, or scikit-learn.
• Experience with data preprocessing, feature engineering, and model evaluation.
• Ability to work collaboratively in a team environment and communicate effectively with technical and non-technical stakeholders.
• Proficiency in virtualization technologies (e.g., VMware, Hyper-V) and containerization tools (e.g., Docker, Kubernetes).

Desirable Requirements:

• Familiarity with MLOps practices and tools for model deployment and monitoring. Understanding of ethical and responsible AI practices.
• Experience with deploying machine learning solutions on-premises, including knowledge of relevant hardware and software infrastructure

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: 13 August 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.