Job highlights

- Expertise in machine learning, AI, statistical modeling, Python, SQL, and data science tools like Spark and XGBoost
- Develop and deploy predictive models, apply credit risk management knowledge, and follow software engineering best practices
- Proficiency in machine learning, AI, and statistical modeling techniques, with a strong track record of developing and deploying successful predictive models in a business setting.
- Solid proficiency in Python and SQL and experience with data science libraries and tools such as: Spark, scikit-learn, XGBoost, LightGBM etc.
- Proficiency in Neural Networks is an added advantage.
- Familiarity with standard software engineering practices and tools including object-oriented programming, test-driven development, CI/CD, git, task orchestration (Airflow) and AWS tooling.
- Strong understanding of credit risk management, lending practices, and regulatory requirements within the financial industry.
- Good communication and presentation skills.

📌 Machine Learning Model Develop & Deployment (Pune)
🏢 hrindiasolutions.co.in
📍 Pune