Elsevier in Mexico City (Hybrid) is seeking a Senior MLOps Engineer to bridge data science and engineering for scalable AI platforms in research and healthcare workflows.
You will automate ML pipelines, maintain model registries, and implement CI/CD across AWS, Azure, and Databricks.
The role emphasizes reliability, governance, and collaboration with product managers and data scientists to turn NLP/GenAI experiments into production services.
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📌 Senior Mlops Engineer: Build Scalable Ai Platforms (Estado de México)
🏢 Lexisnexis Risk Solutions
📍 Estado de México
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