Data Driven AI Solutions Architect

Há 3 dias

São Gabriel da Cachoeira, Brasil beBeeMloppsEngineer Tempo inteiro
Senior MLOps Engineer Position

We are seeking a skilled Senior MLOps Engineer to spearhead the development and implementation of machine learning pipelines. The ideal candidate will possess strong experience in MLOps or a related field and expertise in deploying and managing machine learning models using tools like Kubernetes, Docker, and orchestration platforms.

Key Responsibilities
  • Design and implement scalable MLOps pipelines for deploying, monitoring, and maintaining machine learning models.
  • Collaborate with cross-functional teams to integrate ML models into existing systems and processes.
  • Continuously improve CI/CD processes to automate model training, evaluation, and deployment.
  • Implement and maintain robust monitoring solutions to track model performance, data quality, and system reliability.
  • Troubleshoot and resolve complex issues related to machine learning infrastructure and pipelines.
Required Skills and Qualifications
  • Bachelor's degree or higher in Computer Science, Engineering, or a related field.
  • 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 principles.

The successful candidate will be responsible for designing, implementing, and maintaining efficient machine learning pipelines that meet business requirements and drive organizational growth.

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