Website:
stitch.co
Job details:
AI / ML Engineer
Domain: AI | Financial Intelligence | Fraud Detection | Risk Analytics
Role Overview
The AI / ML Engineer builds intelligent systems that power fraud detection, credit risk modeling, transaction monitoring, and financial automation.
The role also involves developing LLM-enabled solutions and AI-driven automation integrated with fintech platforms.
Key Responsibilities
- Develop machine learning models for fraud detection and credit risk analysis.
- Implement transaction anomaly detection models.
- Design pipelines for model training, evaluation, and deployment.
- Integrate AI models with fintech systems via APIs.
- Implement LLM-based automation for financial insights and workflows.
- Monitor model performance and maintain retraining pipelines.
Technical Skills
Programming - Python, SQL
Machine Learning - TensorFlow, PyTorch, Scikit-learn, XGBoost
AI Platforms - LLM systems, Model Context Protocol (MCP), Prompt engineering, AI agent frameworks
Data Processing - Pandas, Spark, Kafka
MLOps - MLflow, Kubeflow, Feature stores
Infrastructure - Docker, Kubernetes
Click on Apply to know more.