Modulr - Data Scientist - Deep Learning / Machine Learning

About the Role :

We are looking for a passionate and results-driven Data Scientist with 2-3 years of experience to join our data science team. This role involves building robust machine learning and deep learning models for high-impact financial use cases such as fraud detection, risk scoring, personalization, and automation.

You should have strong Python programming skills, hands-on experience with end-to-end ML / DL model development, MLOps deployment, Experience building and exposing APIs for model interaction and integration with production systems is essential.

Key Responsibilities :

• Design, develop, and deploy ML / DL models for FinTech use cases (e.g., fraud detection, customer risk classification, churn prediction).
• Handle and process large, highly imbalanced datasets using advanced resampling, cost-sensitive learning, or anomaly detection techniques.
• Implement and automate MLOps pipelines for training, testing, monitoring, and deploying models to production (e.g., using MLflow or Kubeflow).
• Build APIs and backend interfaces for seamless model consumption in production applications.
• Collaborate closely with Data Engineers, Product Managers, and Frontend Developers to operationalize ML solutions.
• Document model assumptions, performance metrics, and testing methodology for audit and compliance readiness.
• Contribute to continuous model monitoring and re-training pipelines to ensure production accuracy and relevance.
• Stay current on emerging ML and GenAI techniques (exposure to GenAI is a plus but not mandatory).

Key Requirements :

(ref : hirist.tech)