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SAP BTP Integration Expert-cloud integration projects (SAP BRIM Exp) 2. Data Scientist – Predictive AI Experience(AML compliance, fraud, and core FS)

1. SAP BTP Integration Expert-cloud integration projects (SAP BRIM Exp) 2. Data Scientist – Predictive AI Experience(AML compliance, fraud, and core FS)

Hi,

SAP BTP Integration Expert-cloud integration projects (SAP BRIM Exp)

San Jose CA- onsite (Local profile)

6-12+ Months C2H

JD:
We are looking for a highly experienced SAP BTP Integration Expert to lead cloud integration projects across enterprise applications with a focus on SAP BRIM (Billing and Revenue Innovation Management).
• This role requires expertise in SAP BTP Integration Suite (CPI), PI/PO to CPI migration, S/4HANA, Salesforce, Kafka, Apigee, and complex integration with BRIM components including SOM, and FI-CA
• Design and deliver integration solutions using SAP BTP Integration Suite (CPI) for BRIM-related processes and manage APIs using SAP API Management and Google Apigee
• Develop integration flows between SAP BRIM components (SAP SOM, FI-CA) and with external web platforms using third-party applications using OData, SOAP, REST, and IDoc.
• Implement event-driven and real-time integration using Apache Kafka and SAP Event Mesh
Exp : 8+
Skills: SAP Business Technology Platform (BTP) – Build
Experience Required: 6-8

_________________________________________________________________

Data Scientist – Predictive AI Experience(AML compliance, fraud, and core FS)
Morristown, New Jersey- 100% onsite
6-12+ Months C2C

JD:
Key responsibilities:

Retrain and calibrate governed predictive models for AML compliance, fraud, and core FS use cases to improve precision/recall and reduce false positives. Relevant work experience in fintech fraud risk, with deep understanding of money movement products, banking, lending, and fraud detection data Deliver customer segmentation, anomaly detection, and forecasting solutions by applying hands-on ML expertise to ship production-ready models in financial services. Leverage experience across credit risk and fraud to design, deploy, monitor, and maintain models (deep learning, tree-based, reinforcement learning, clustering, time series, causal methods, and NLP) with a deep understanding of payment systems, money movement, banking, and lending.

Continuously monitor model performance, drift, and stability; define thresholds and trigger retraining with clear acceptance criteria.

Partner with ML Engineering to provide L2/L3 production support—triage incidents, perform root-cause analysis, and implement hotfixes within MLOps guardrails.

Engineer features and prepare training/eval datasets with Data Engineering; contribute to the design and rollout of a reusable feature store.

Document models, assumptions, and controls; perform structured handoffs to MLOps/ML Engineering for compliant deployment.

Write production-quality code for DS workflows (SQL, Python); use advanced Excel for analysis/reporting; enforce testing and reproducibility.

Ability to quickly develop a deep statistical understanding of large, complex datasets Expertise in designing and building efficient and reusable data pipelines and framework for machine learning models Strong business problem solving, communication and collaboration skills Required Experience: 6 – 8 Years of Experience

 

 

Best Regards,

Navneet Jha

D : 848-999-0314 Email: navneet.jha@siriinfoinc.com

Siri InfoSolutions Inc3 Ethel Rd, Suite # 302, Edison NJ 08817.

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