AI Engineer - Smartbroker AG

Key Responsibilities

• Design, implement, and maintain end‑to‑end machine learning pipelines for financial data analysis and predictive modeling.
• Collaborate with data scientists and software engineers to integrate ML models into production systems on AWS.
• Optimize model performance and scalability, ensuring low latency and high throughput in real‑time trading environments.
• Conduct rigorous testing, validation, and monitoring of deployed models, implementing automated retraining workflows.
• Document model architecture, data preprocessing steps, and performance metrics for internal stakeholders.

Requirements

• Strong programming skills in Python and experience with TensorFlow or PyTorch.
• Hands‑on experience deploying ML solutions on AWS (SageMaker, Lambda, ECS).
• Solid understanding of statistical modeling, feature engineering, and model evaluation techniques.
• Familiarity with financial markets and trading concepts is a plus.
• Excellent problem‑solving skills and ability to work in a fast‑paced, collaborative environment.