Research Engineer MLOps (RE2) per al Barcelona Supercomputing Center

The Language Technologies Unit at BSC has a consolidated experience in several NLP areas, such as massive language model building, biomedical text mining, machine translation and unsupervised learning for under-resourced languages and domains. It has been entrusted by the Spanish and the Catalan government, with the mission to develop fundamental open-source resources and technologies for Spanish and Catalan. In connection with this, the LT Unit is currently in charge of two flagship projects at the national and regional level: the Spanish National Language Technology Plan, funded by the Spanish Secretariat of Digitalisation and Artificial Intelligence, and the AINA project, aimed at developing AI resources for Catalan, funded by the Catalan Digitalisation Department. In addition, the Unit participates in various EU funded international projects.

The LT Unit at BSC is looking for an MLOps engineer with experience in automating the development, deployment and monitoring of ML models. The MLOps engineer will develop, maintain and optimize ML pipelines to ensure high performance and reliability of ML models, furthermore ensure their effective deployment to the production. The successful candidate will work in a highly sophisticated HPC environment, will have access to state-of-the-art systems and computational infrastructures.

Key Duties

• Design and implement ML model continuous integration, continuous deployment and continuous monitoring processes for production.
• Develop and maintain CI/CD pipelines for ML models.
• Configure and automate ML model deployment, monitoring and scaling in production.
• Implement monitoring and logging of ML models.
• Identify areas of improvement in the ML model lifecycle.
• Collaborate with data engineers and ML engineers to select best ML model architectures and hyperparameters.
• Ensure the accessibility of the open software, and the replicability of their deployment via containers based architectures.
• Maintain the code infrastructure as open source repositories.

Data de tancament: Dimarts, 31 Desembre, 2024

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