Role Summary
We are looking for a techno-functional leader with deep experience in Payments domain and AI/ML solutions to design and implement intelligent, AI-enabled payment solutions. The role requires someone who can engage with business stakeholders, design AI-driven architectures, and also contribute hands-on to development and deployment, particularly in AI MLOps environments. This is not a pure data scientist role or a pure BA role but a design + build + deploy role within Payments transformation programs.
Key Responsibilities
1. Payments Domain & Functional Leadership
* Work with stakeholders across Payments (Wire, ACH, SWIFT, ISO 20022, Cards, Cross-border, Liquidity)
* Identify AI-led automation and optimization opportunities in payments lifecycle
* Translate regulatory, operational, and reconciliation challenges into AI solution use cases
* Define business requirements and solution blueprints
2. AI Solution Design
* Design AI/ML-driven solutions for:
* Fraud detection & anomaly detection
* Reconciliation automation
* Payment routing optimization
* Intelligent exception handling
* AML pattern detection
* Define model selection approach (ML, LLM, GenAI, rule-based hybrid models)
* Design scalable, cloud-native AI architectures
3. Hands-on Development
* Develop ML models / AI workflows using Python and relevant frameworks
* Build APIs and integration layers for embedding AI into payments systems
* Work with data pipelines (real-time + batch)
* Implement data preprocessing, feature engineering, and model evaluation
4. AI MLOps & Deployment
* Set up and manage ML lifecycle using MLOps frameworks
* Implement:
* Model versioning
* CI/CD pipelines
* Monitoring & drift detection
* Governance and audit controls
* Ensure production-grade deployment with compliance considerations
5. Stakeholder & Delivery Management
* Interface with product teams, risk teams, operations, and engineering
* Lead POCs and scale into production
* Support proposal creation and AI solution articulation for clients
Domain
* 10+ years of experience in Banking/FinTech
* Strong Payments domain exposure (SWIFT, ISO 20022, Cards, Wire, ACH, Cross-border, Treasury flows)
* Understanding of regulatory and compliance implications in payments
* Experience working in payments transformation programs
Technical
* Strong Python skills
* Experience with ML libraries (Scikit-learn, TensorFlow, PyTorch, XGBoost, etc.)
* Experience with LLMs / GenAI frameworks (LangChain, RAG, prompt engineering, etc.)
* Experience in cloud (AWS / Azure / GCP)
* Experience in MLOps tools (MLflow, Kubeflow, SageMaker, Azure ML, etc.)
* API development experience
Techno-Functional Capabilities
* Ability to translate business requirements into technical AI designs
* Strong solution architecture capability
* Experience designing and deploying AI solutions end-to-end
Good to Have
* • Fraud / AML AI implementation experience
* • Real-time payments exposure
* • Knowledge of DevOps practices