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Expert Data and AI Engineer Shaping Banking Technology

Summary

Build and deploy AI systems for banking, designing scalable data pipelines and MLOps workflows to transform financial operations with explainable models.

Become a Staff Data/AI Engineer, spearheading AI innovations within banking. Bring your experience in data engineering and machine learning to revolutionize financial solutions. This pivotal role involves designing and implementing AI systems that enhance operations across Personal and Commercial Banking. You will build scalable data pipelines alongside business and platform teams to deliver secure and trusted solutions. Your efforts will transform intricate banking problems into AI applications that are both reliable and explainable. Key Responsibilities: • Create scalable data architecture for AI and ML • Employ DataOps and MLOps for operational efficiency • Develop and deploy AI services in production settings • Fine-tune data models for optimal performance • Maintain coding standards through code reviews Requirements: • Minimum 5 years in data or AI engineering roles • Bachelor’s in Computer Science or equivalent • Proficiency in Python, Java, SQL, and Spark • Experience with LLM and AI systems integration • Strong problem-solving and communication skills Lead the future of banking technology with your data-driven insights and engineering expertise, shaping intelligent solutions for complex challenges.

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