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Advanced AI/Machine Learning Pipeline Specialist
2 semanas atrás
**Job Title:** AI MLOps Engineer
The Dell Technologies Office of the CTO has an opening in its AI-Centric Engineering unit, a fast-paced and exhilarating part of the company.
We drive research and engineering for the future of our business in a high-visibility and high-collaboration environment. Our team is passionate about developing advanced generative AI solutions that empower businesses to innovate, communicate, and optimize operations.
Key Responsibilities:
- 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.
- Bachelor's degree or higher in Computer Science, Engineering, or a related field. Advanced degrees are a plus.
- 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)
Each member of our team has the power to make an impact. We put our team members at the center of everything we do.
Join us to build a future that works for everyone because Progress Takes All of Us.
Dell Technologies is a family of businesses helping individuals and organizations transform how they work, live and play.