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Data Science Contractor Bengaluru (India)

BangalorePosted 1 month ago
Data Science And StatisticsJuniorFull Time; Regular
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ABOUT EARNIN As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks. We're fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We're growing quick and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey. As a Fintech company where Machine Learning (ML) is one of the critical drivers of growth, our operations highly rely on machine learning models, from business decisions to customer experiences. Therefore, building and deploying state-of-the-art machine learning systems to drive impact via our data capabilities is critical. To guarantee the success of machine learning systems, we need to formulate and experiment extensively and transform ML models to high-performance production-level code, including implementing sophisticated machine learning algorithms and robustness monitoring and system logging/alarming. This position will be based in India, ideally in Bengaluru, as part of our expanding site location. WHAT YOU'LL DO Collaborate closely with other machine learning engineers and analysts to use and train state-of-the-art ML models for the product use cases assigned Understand the key metrics needed for such model evaluations Do in-depth data analysis to uncover insights and share them with partners Help in ensuring improvements in our current ML systems via model, data, or experimentation upgrades Gain hands-on experience with a wide array of technologies, including PyTorch, AWS, Kafka, data bricks etc WHAT WE'RE LOOK .

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