AI Centric Engineer

Há 3 dias

Canoas, Rio Grande do Sul, Brasil beBeeMachineLearning Tempo inteiro US$140.000 - US$170.000

MLOps Engineer Opportunity

We are seeking an experienced MLOps Engineer to join our AI-Centric Engineering unit, a fast-paced and exhilarating part of the team.

The ideal candidate will drive research and engineering for the future of Dell Technologies in a high-visibility and high-collaboration environment.

Our team specializes in developing advanced generative AI solutions that empower businesses to innovate, communicate, and optimize operations in ways never before possible.

What you'll achieve

If 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.

Required Skills

Strong experience in MLOps or a related field is required. Proficiency in deploying and managing machine learning models using tools like Kubernetes, Docker, and orchestration platforms (e.g., Apache Airflow) is essential.

Strong programming skills in languages like Python, and experience with version control systems (e.g., Git), containerization, virtualization, and infrastructure as code (IaC) principles are also necessary.

Benefits

This role offers the opportunity to work on cutting-edge AI technology and collaborate with a talented team of engineers and researchers.

Grow Your Career

This role provides opportunities for growth and professional development, allowing you to develop your skills and expertise in MLOps and AI engineering.

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