Senior AI Engineer - ClassWallet

Key Responsibilities

• Architect, develop, and productionize machine‑learning models that optimize fund allocation, fraud detection, and compliance monitoring.
• Collaborate with product, data, and engineering teams to translate business requirements into scalable AI solutions.
• Design and implement data pipelines and feature engineering workflows on AWS services (S3, SageMaker, Lambda).
• Evaluate and fine‑tune deep‑learning models using TensorFlow or PyTorch, ensuring high accuracy and low latency.
• Establish best practices for model monitoring, versioning, and continuous integration/continuous deployment (CI/CD) in a cloud environment.

Requirements

• 5+ years of professional experience in machine learning or AI engineering, preferably in fintech or regulated industries.
• Strong proficiency in Python and experience with ML libraries such as TensorFlow, PyTorch, or Scikit‑learn.
• Hands‑on experience deploying models on AWS (SageMaker, EC2, Lambda) and managing cloud‑based data pipelines.
• Solid understanding of statistical modeling, deep learning architectures, and model evaluation techniques.
• Excellent problem‑solving skills and ability to communicate complex technical concepts to non‑technical stakeholders.