MLOps Engineer

Indeed

Company

Job typeFull-time

Workplace typeOnsite

Experience levelNo experience limit

Education levelNo degree limit

Description

Job Summary: We are seeking MLOps professionals to automate, industrialize, and operate Machine Learning and AI solutions in digital transformation projects. Key Highlights: 1. Automation and optimization of the ML and AI model lifecycle. 2. Collaboration with Data Science, Data Engineering, and platform teams. 3. Improvement of reliability, scalability, and observability in production. The MLOps area has become a key component for connecting model development with deployment and operations, ensuring that AI solutions can evolve, be maintained, and scale sustainably. Therefore, we aim to welcome into our talent community professionals interested in the automation, industrialization, and operation of Machine Learning and Artificial Intelligence solutions, to participate in future technology transformation and innovation projects. **Responsibilities** * Automate and optimize the Machine Learning and AI model lifecycle. * Participate in the implementation, deployment, and monitoring of AI solutions. * Collaborate with Data Science, Data Engineering, and platform teams. * Contribute to the industrialization of AI models and processes. * Improve reliability, scalability, and observability of production environments. **Required Knowledge** * Experience with Python and Machine Learning ecosystems. * Familiarity with CI/CD, application automation, and deployment. * Knowledge of containers and orchestration tools. * Experience with cloud platforms and services related to AI and data. * Knowledge of monitoring and operating models in production.

Source: indeed

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Posted by

David Muñoz

Indeed · HR

Location

David Muñoz

Indeed · HR

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