Senior Advisor, Machine Learning Engineer
Job Description
Dell Technologies' AI-Centric Engineering unit, part of the Office of the CTO, is seeking a Senior MLOps Engineer to join their team in Brazil. This role is part of a fast-paced team specialized in developing advanced generative AI solutions. The position focuses on deploying and managing machine learning models at scale, optimizing pipelines, and ensuring AI systems reliability.
The role involves working with cutting-edge ML technologies and frameworks, implementing robust MLOps pipelines, and collaborating with cross-functional teams. You'll be responsible for designing and managing deployment systems, maintaining monitoring solutions, and continuously improving CI/CD processes for ML models.
As part of Dell Technologies, one of the world's leading technology companies, you'll have the opportunity to work on innovative projects that impact how businesses innovate and operate. The position offers exposure to the latest trends in MLOps and AI technology, while working alongside talented professionals in a high-visibility environment.
The ideal candidate should have strong technical skills in Python, Kubernetes, and ML frameworks, combined with experience in MLOps practices and tools. This role offers an excellent opportunity for career growth while contributing to cutting-edge AI solutions that shape the future of technology.
Dell Technologies offers a collaborative work environment where team members are empowered to make an impact, with access to advanced technology and the opportunity to work with some of the best minds in the industry.
Responsibilities For Senior Advisor, Machine Learning Engineer
- Design, implement, and manage robust MLOps pipelines for deploying, monitoring, and maintaining machine learning models in production environments
- Collaborate with cross-functional teams 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
Requirements For Senior Advisor, Machine Learning Engineer
- Bachelor's degree or higher in Computer Science, Engineering, or a related field
- 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
- Strong programming skills in languages like Python, and experience with version control systems
- Solid understanding of containerization, virtualization, and infrastructure as code (IaC) principles
- Experience with monitoring and logging tools
