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Neurosales seeks an ML Analyst to improve its AI sales assistant by deriving data insights, benchmarking tools, and ensuring high-quality training data. You will work with ML and product teams to develop methodologies for data-driven improvements and assess model performance.
Proficiency in SQL and Python and familiarity with ML basics are essential for this role. You will also build data labeling tools and perform comparative analyses to benchmark configurations against external models,
Neurosales is seeking an ML Analyst to enhance their AI sales assistant's quality through data insights and benchmarking tools. Candidates with strong SQL and Python skills who are familiar with ML fundamentals should consider applying.
As an ML Analyst at Neurosales, you will focus on improving the quality of their AI assistant designed for sales departments. This role involves developing methodologies for data insights and assessing product quality, working closely with both ML and product teams.
You will also be responsible for creating data labeling tools and ensuring the reliability of training datasets. Additionally, you'll conduct comparative analyses to benchmark internal configurations against external models, contributing to the overall effectiveness of the AI product.