Description

Key Responsibilities:
✅ Develop, test, and deploy ML models for fraud/scam detection
✅ Build production-ready ML pipelines and APIs using Python
✅ Conduct A/B testing, model validation, and performance optimization
✅ Develop backend services and lightweight front-end dashboards
✅ Implement MLOps practices, CI/CD pipelines, model monitoring, and deployment
✅ Work with high-volume datasets and real-time data processing
✅ Collaborate with business, product, fraud strategy, and technology teams
🔹 Mandatory Skills:
🔸 Strong Python programming
🔸 Applied Data Science amp; Machine Learning
🔸 NumPy, Pandas, Scikit-learn, TensorFlow
🔸 End-to-end ML model development and production deployment
🔸 MLOps, ML pipelines, model monitoring, and CI/CD
🔸 Backend/API development (REST)
🔸 Front-end development using React, Angular, Vue, or equivalent
🔸 SQL and data processing
🔸 Cloud platforms, preferably GCP
🔸 Docker/Kubernetes and production engineering practices
⭐ Good to Have:Quantum Computing or Quantum-Inspired Optimization experience

Key Skills

Education

Any Gradute