Location: Bentonville AR or Sunnyvale CA ( 5 days a week onsite )
Duration; 12 Months Contract
Machine Learning Engineer is responsible for building scalable end-to-end data science solutions.
Build ML and statistics driven models and continuous model monitoring workflows.
Own the MLOps lifecycle from data monitoring to refactoring data science code to building robust ML model lifecycle.
Scale and deploy holistic machine learning solutions after successful prototyping.
Have an engineering mindset and exposure to software engineering principles Agile methodologies CICD distributed systems and implemented that in Machine Learning projects.
Have strong knowledge of Machine Learning MLOps MLflow Cubeflow Python/R Pytorch SQL Big Data GCP Shell scripting.
Experience in scaling infrastructure to support high-throughput data-intensive applications using Scala/PySpark/GPU
Worked on integrating ML models with web services using FastAPI or Flask.
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