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MLOPS Remote /India/

Insignia Consultancy Solutionsvia GrabJobs
RemotoUsPlenoCLT9 dias atrás

Salário Estimado

R$ 7.722,00 - R$ 11.583,00

0de 100

Regular

Score da Vaga

Descrição da Vaga

Job Brief: ## Job Description: MLOps Engineer • *Position:** MLOps Engineer

*Experience:** Minimum 2 years in a relevant field ### Responsibilities: - Deploy machine learning models into production environments efficiently and effectively. - Utilize automation and orchestration tools to manage and streamline ML workflows. - Implement monitoring solutions to track model performance real-time and ensure optimal functionality. - Enforce scalability in machine learning systems to handle diverse and fluctuating workloads reliably. - Collaborate closely with data scientists, developers, and operations teams for a seamless integration of ML solutions. - Contribute to the optimization, maintenance, and enhancement of ML operations and processes. ### Requirements: - Proven experience in deploying machine learning models effectively in production environments. - Proficiency in automation and orchestration tools for managing ML workflows. - Strong understanding and implementation of model monitoring solutions for real-time performance tracking. - Ability to ensure scalability of machine learning systems to handle varying workloads efficiently. - Excellent collaboration skills to work with cross-functional teams effectively.

If you meet the above requirements and are passionate about the intersection of machine learning and operations, we encourage you to apply and be a key part of our dynamic team.


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Requisitos

  • Minimum 2 years in a relevant field
  • Proven experience in deploying machine learning models effectively in production environments
  • Proficiency in automation and orchestration tools for managing ML workflows
  • Strong understanding and implementation of model monitoring solutions for real-time performance tracking
  • Ability to ensure scalability of machine learning systems to handle varying workloads efficiently
  • Excellent collaboration skills to work with cross-functional teams effectively
  • If you meet the above requirements and are passionate about the intersection of machine learning and operations, we encourage you to apply and be a key part of our dynamic team

Responsabilidades

  • Deploy machine learning models into production environments efficiently and effectively
  • Utilize automation and orchestration tools to manage and streamline ML workflows
  • Implement monitoring solutions to track model performance real-time and ensure optimal functionality
  • Enforce scalability in machine learning systems to handle diverse and fluctuating workloads reliably
  • Collaborate closely with data scientists, developers, and operations teams for a seamless integration of ML solutions
  • Contribute to the optimization, maintenance, and enhancement of ML operations and processes

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Informações

NívelPleno
ContratoCLT
LocalUs
RemotoSim
MoedaBRL
Publicada9 dias atrás
FonteGrabJobs

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