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AI Research Engineer (Staff) - Engineering Transformation
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AI Summary
Lead a junior ML team in developing, deploying, and monitoring scalable machine learning models on AWS SageMaker. Define MLOps best practices, handle model drift, and ensure fairness/explainability. Requires 4+ years in ML Engineering/MLOps with hands-on SageMaker experience.
Key Highlights
Leadership of junior ML team with MLOps best practices
Hands-on SageMaker training/deployment with data/model monitoring
Graph ML and GNN support with AWS Neptune
Key Responsibilities
Lead ML team and define MLOps best practices
Train, deploy, and monitor ML models on AWS SageMaker
Handle data/model drift and ensure model fairness/explainability
Support Graph ML and GNN use cases
Technical guidance for junior engineers
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Technical Skills Required
Benefits & Perks
100% remote work
Long-term commitment with autonomy and impact
Strategic role with career growth opportunities
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Nice to Have
Experience with Graph Neural Networks (GNN)
Advanced Amazon Neptune knowledge
Scalable ML production environment experience
Job Description
Coderio busca un/a Senior Machine Learning Engineer para unirse al equipo de Data & Machine Learning y liderar técnicamente el desarrollo, entrenamiento, despliegue y monitoreo de modelos de Machine Learning sobre AWS.
El rol incluye:
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