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MLOps Engineer
Sin especificarSin especificarAI & Machine LearningInsurance
Join data, AI, and machine learning teams to build and improve infrastructure for training and operating machine learning models in production. Work closely with data science, data engineering, development, architecture, DevOps, security, and business teams.
Responsabilidades
- Design, build, and maintain end-to-end ML and ETL workflows, including model training, validation, and deployment.
- Develop CI/CD workflows and configure AWS services.
- Build production-focused ML infrastructure and model monitoring.
- Design and develop architecture for LLM-based products.
- Develop and implement DevOps processes and blueprints.
Requisitos
- At least 2 years of experience in a similar role supporting production ML systems.
- Proven experience building and operating ML pipelines on AWS.
- Practical experience with Docker, Git, and CI/CD.
- Proficiency in Python and experience working with production-level ML code.
- Experience working with Linux.
- Bachelor's degree in computer science, engineering, or a related field.
Se valora
- Knowledge of networking.