A hybrid Data & ML role at Lendbuzz.
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Original listing text, shown exactly as published by the company.
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Build machine learning and deep learning models based on financial and other modalities like images and text
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Collaborate closely with cross-functional teams to integrate machine learning models seamlessly into production systems
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Conduct extensive analysis to better understand our continually evolving datasets and validate model performance
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Design and develop robust, scalable pipelines and services using software engineering best practices
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Implement end-to-end solutions, including architecture design, business logic, and deployment
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Drive the adoption of rigorous testing practices, ensuring high-quality, reliable ML model releases
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Stay updated with advancements in machine learning and related technologies to continuously improve our solutions
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Ph.D in Computer Science, Statistics, Mathematics or a related field
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2+ years of relevant industry or postdoc experience
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Solid understanding of computer science fundamentals, including data structures and algorithms and object oriented programming
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Deep understanding of machine learning models and algorithms
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Deep understanding of probability and statistics
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Strong data analysis skills and experience working with messy real world data
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Proficiency in python and familiarity with commonly used machine learning libraries such as numpy, pandas, torch, and scikit-learn…
Lendbuzz
Data & ML
59 open roles on Sydicom
Lendbuzz is a financial technology company specializing in automotive financing. They use an AI-powered platform to assess creditworthiness and provide car loans. Their technology aims to expand access to financing for consumers, including those with limited U.S. credit history.
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