About Digitap.ai:
DIGITAP.AI is an Enterprise SaaS company providing high-tech advanced AI/ML, Alternate Data Solutions to new-age internet-driven businesses for reliable, fast, and 100% compliant Customer Onboarding, Alternate Data Solutions for Automated Risk Management, and other Value-Added Services. Our proprietary Machine Learning Algorithms and Modules provide one of the best success rates in the market. We work with the top digital lenders of India & the team brings together deep and vibrant experience in Fintech Product & Risk Management, Fraud Detection, and Risk Analytics.
Culture and Benefits:
- Innovative Start-up Environment: Enjoy the flexibility to design, implement, and influence the development of cutting-edge solutions.
- Transparency and Meritocracy: We value clear communication, eschew politics, and promote an open culture where contributions are recognized and rewarded.
- Ownership and Impact: We encourage team members to take ownership, think beyond their roles, and contribute to the company's success in meaningful ways.
- Competitive Compensation: We offer a competitive salary and a potential equity package, aligning your success with the company's growth.
Job Description:
Key Responsibilities
- Assist in developing machine learning models for credit scoring, fraud detection, and risk prediction
- Work with large datasets for data cleaning, preprocessing, and feature engineering
- Support model experimentation, evaluation, and performance optimization
- Contribute to building automated ML pipelines for data processing and model training
- Monitor model performance and data drift in production systems
- Collaborate with data scientists, engineers, and product teams to translate business problems into ML solutions
Required Skills- 1+ year experience working with Machine Learning models (classification/regression)
- Strong Python programming skills
- Experience with NumPy, Pandas, Scikit-learn, Matplotlib/Seaborn
- Knowledge of model evaluation, cross-validation, overfitting, and feature importance
- Experience with data cleaning, preprocessing, and feature engineering
- Basic SQL querying skills
- Familiarity with Git and collaborative development
Preferred Qualifications
- Degree in Computer Science, Data Science, Mathematics, or related field
- Exposure to Fintech / Credit Risk / Business Analytics
- Basic understanding of MLOps, model deployment, or pipeline automation
- Passion for learning new ML tools and technologies
