
AI Architect
3 weeks ago
Greetings from Tesslogs,
We are looking for an experienced AI Architect with strong Core Banking experience to design, implement, and scale AI/ML solutions for the BFSI sector. The role involves working closely with banking stakeholders to deliver AI-driven innovations across fraud detection, risk modeling, customer experience, and digital transformation.
Key Responsibilities:
- Design and implement AI/ML architecture and solutions tailored for the core banking domain.
- Work with stakeholders to identify use cases (fraud detection, credit scoring, risk modeling, customer experience automation).
- Architect scalable AI solutions integrating with core banking platforms (Finacle, Temenos, Flexcube, T24, etc.).
- Ensure compliance with regulatory and security standards in BFSI (Basel, GDPR, RBI).
- Collaborate with data scientists, engineers, and business teams to build AI/ML-driven platforms.
- Oversee end-to-end AI adoption: data pipelines, model lifecycle, deployment, and monitoring.
- Evaluate AI frameworks, cloud services (AWS, Azure, GCP), and MLOps tools for production readiness.
Primary Skills:
- Strong expertise in AI/ML architecture, Generative AI, NLP, Computer Vision, Predictive Analytics.
- Proficiency in Python, R, TensorFlow, PyTorch, Scikit-learn.
- Knowledge of data engineering: SQL, Spark, Kafka, Hadoop.
- Experience with MLOps tools (MLflow, Kubeflow, Airflow, Docker, Kubernetes).
- Hands-on experience in core banking solutions and banking processes.
- Strong understanding of enterprise architecture frameworks (TOGAF, Zachman)
Best Regards,
Gladys
#CoreBanking #BankingTechnology #BFSI #DigitalBanking #FinTech #FinancialServices #BankingSolutions #RiskManagement #FraudDetection #Payments
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