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The role involves data pipeline development and management using Azure stack, Scala, and Kafka, while ensuring data quality and efficiency with strong analytical skills.

The role involves designing end-to-end ML solutions, collaborating with teams on scalable architecture, and implementing MLOps best practices.

As a Senior AI Engineer, you will design and implement AI solutions, collaborate with teams to define success metrics, and iterate on AI model performance.

The Technology Partner leads client engagement and transformation initiatives, provides technology solutions, mentors talent, and contributes to data governance and innovations in data platforms.

The Cloud Data Architect will lead data engineering efforts, improve practices for client-facing teams, and design cloud-based data solutions while collaborating with key stakeholders.

Responsible for deploying and improving MLE solutions, building production data pipelines, and writing scalable machine learning systems while collaborating with teams to drive strategy and communicate results.

The role involves collaborating with teams to design and deploy ML models, develop scalable AI applications, and optimize performance using GCP and Vertex AI.

Oversee advanced data analytics to enhance fraud prevention and customer experience. Work with cross-functional teams to implement solutions for high-risk accounts and drive project delivery.

Lead development and management of credit risk strategies, leveraging statistical modeling and macro-economic analysis to align with enterprise goals.

The Gen AI Data Engineer will design and build distributed data systems, develop data pipelines, manage data infrastructure, and integrate technologies for real-time and batch processing, contributing to scalable analytics solutions.