Sr Machine Learning Engineer
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The role
Design, develop, and deploy scalable machine learning models and algorithms to solve complex business problems.
Preprocess and analyze large datasets to extract meaningful, actionable insights.
Build end-to-end ML pipelines and deploy models into production environments for real-world impact.
Collaborate with data scientists, software engineers, and product teams to integrate ML solutions into services.
Monitor model performance, validate data quality, and iterate to maintain reliability and business value.
Requirements include 3+ years of experience, proficiency with TensorFlow, PyTorch, or scikit-learn, and hands-on cloud experience (AWS/Azure/GCP).
Preprocess and analyze large datasets to extract meaningful, actionable insights.
Build end-to-end ML pipelines and deploy models into production environments for real-world impact.
Collaborate with data scientists, software engineers, and product teams to integrate ML solutions into services.
Monitor model performance, validate data quality, and iterate to maintain reliability and business value.
Requirements include 3+ years of experience, proficiency with TensorFlow, PyTorch, or scikit-learn, and hands-on cloud experience (AWS/Azure/GCP).
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Remote workPartial
CitySan Jose, United States