Paisabazaar Machine Learning Engineer Internship Freshers Can Apply
Organization: Paisabazaar
Job Profile: Machine Learning Engineer
Job Location: Gurugram, India
Duration : 3 months
About The Organization
Paisabazaar is India's largest consumer credit marketplace with a 51.4% market share, based on disbursals in Fiscal 2020. With 54 partnerships with large banks, large NBFCs, and fintech lenders, Paisabazaar aims to offer a wide choice of lending products for consumers on its platform. While being the market leader, Paisabazaar has also defined the vision for the lending industry by its Industry-first innovations like CoA and Free Credit Score, and many more.. aiming to solve core consumer problems via a solid understanding of customer behavior, backed by cutting edge Tech, Product and Analytics capabilities. Paisabazaar has been recognized at several industry platforms with awards like Digital Lending Award' at the Fintech India Innovation Awards, Excellence in Consumer Lending' at IAMAI's India Digital Awards, Outstanding Crisis Finance Innovation 2021 (Asia Pacific) Award Most Innovative Lending Startup' by India Fintech Forum and Economic Times' Most Promising Brand'.
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About Internship
- Model Development: Collaborate with data scientists to design and implement machine learning models to solve specific business problems.
- Data Preparation: Preprocess and clean data, ensuring it is suitable for model training and evaluation.
- Model Training: Train, validate, and optimize machine learning models using state-of-the-art techniques.
- Integration: Work with software developers to integrate machine learning models into our applications and services.
- Testing: Conduct rigorous testing to ensure model accuracy and reliability in real-world scenarios.
- Documentation: Maintain clear and concise documentation of model development and integration processes.
- Bachelor's degree in Computer Science, Data Science, or a related field.
- Proficiency in Python and machine learning libraries such as scikit-learn and TensorFlow.
- Strong problem-solving skills and attention to detail.
- Experience with data preprocessing and feature engineering.
- Knowledge of model evaluation techniques and metrics.
- Familiarity with model deployment in cloud environments is a plus.
- Excellent communication and teamwork skills.
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