Basic Qualifications:
Bachelor’s or Master’s degree in Computer Science, Engineering
At least 7 years of experience in machine learning engineering, building data intensive solutions using distributed computing
At least 5 years of hands-on experience with Generative AI models and their application in observability or related areas
At least 8 years of experience programming with Python, Go, or Java
At least 5 years of experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow
At least 5 years of experience productionizing, monitoring, and maintaining models
At least 5 years of experience with cloud platforms like AWS, Azure, or GCP
At least 7 years of experience in developing performant, resilient, and maintainable code.
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