Role Overview: We are seeking a skilled AI Engineer with 3–5 years of hands-on experience in designing, developing, and deploying AI/ML solutions in cloud environments.

The ideal candidate will have strong proficiency in Python, experience with both Azure and AWS, and a solid understanding of MLOps practices.

Key Responsibilities: Design and implement scalable AI/ML models for banking applications (e.g., fraud detection, credit scoring, customer segmentation).

Deploy and manage models in production using Azure ML and AWS SageMaker.

Collaborate with data scientists, software engineers, and DevOps teams to operationalize ML workflows.

Build and maintain CI/CD pipelines for ML model deployment and monitoring.

Ensure compliance with data governance, security, and regulatory standards.

Optimize model performance and resource usage in cloud environments.

Document processes, models, and deployment strateg...