Machine Learning Engineer at BairesDev is responsible for building and deploying ML models into production. You will integrate data science and engineering principles to ensure scalable training, serving, and monitoring of ML systems across production environments.
You will design production-ready pipelines with Python and frameworks like TensorFlow or PyTorch, deploy model-serving infra, and implement MLOps to automate testing, deployment, and versioning.
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📌 Remote Machine Learning Engineer — Production ML & MLOps (México)
🏢 BairesDev
📍 México
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