bigshyft
SScoreMe Solutions
ScoreMe Solutions
Python Developer
Unfunded
Start-up
51-200 employees
3y - 6y

(Competitive pay)

Gurugram/ Gurgaon
Python, Pandas, NumPy, Algorithms

Role

Company

Job Description

What makes you a great fit:


  •     Design and implement software components using Python
  •     Experience with cloud services (e.g., AWS)
  •     Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes)
  •     Familiarity with CI/CD pipelines and DevOps practices
  •     Experience with machine learning and data analysis libraries (e.g., NumPy, pandas, scikit-learn)
  •     Write clean, maintainable, and efficient code
  •     Optimize code for performance and scalability
  •    Develop and maintain robust data structures and algorithms
  •   Troubleshoot and debug applications
  •    Collaborate with cross-functional teams to define and design new features
  •    Conduct code reviews and provide constructive feedback
  •    Stay up-to-date with the latest industry trends and technologies
  •    Proficient in Python and familiar with its libraries and frameworks
  •    Experience with version control systems (e.g., Git)
  •    Knowledge of software development best practices and design patterns
  •    Experience with database systems (SQL and NoSQL)
  •   Strong problem-solving skills and attention to detail
  •   Excellent communication and teamwork skills

All about us
ScoreMe Solutions

Scoreme Solutions India Private Limited is in the business of powering paperless credit and analytics for financial institutions. By simplifying processing of unstructured data in multiple formats, we help financial institutional customers in reducing risk, increasing operational efficiency and enhancing transparency in lending decisions. Our in-house fintech platforms help financial institutions process unstructured data in bank statements, financial reports, income tax returns, GST returns, Legal Data and are also capable of performing KYC checks. Whether you are a bank, NBFC, fintech lender or an aggregator, we can help develop standardized or customized analytics based on your need helping develop deeper insights into borrowers.

Employee count
51-200 employees
Employment Type
Full Time Job
Company Type
Start-up
Headquarters
Gurugram, India

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