Senior ML Engineer: Production-Grade AI for Financial Data

Smartstream; Wien; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

SmartStream is seeking a Senior Machine Learning Engineer in Vienna to build and operate ML and AI solutions for financial data processing. You will turn prototypes into production-ready systems, working with large transaction datasets for matching, reconciliation, and exception handling.

You will collaborate with data scientists and software engineers, deploying end-to-end ML pipelines, models, and services with strong emphasis on observability, testing, and scaling.

Qualifikationen

• Degree in Computer Science, Engineering, Statistics, Mathematics, or related field.
• 4-6+ years in machine learning engineering or software engineering with an ML component.
• Experience delivering and operating ML models in production.
• Experience working in cross-functional teams delivering software products.

Aufgaben

• Develop, deploy, and maintain ML models and services, ensuring robustness.
• Translate research artefacts into production-grade ML systems with tests and observability.
• Own model serving, monitoring, drift detection, and retraining in production.
• Engineer features on real financial datasets and validate models for reliability.
• Collaborate with software engineers and data scientists on the platform.
• Document methods and decisions to keep models transparent and reproducible.

Kenntnisse

Python

ML Engineering

Data pipelines

CI/CD

Communication

Ausbildung

Bachelor's degree in Computer Science / Engineering / Math

Tools

PyTorch

FastAPI/Flask

Kubernetes

Docker

Jobbeschreibung

SmartStream is seeking a Senior Machine Learning Engineer in Vienna to build and operate ML and AI solutions for financial data processing. You will turn prototypes into production-ready systems, working with large transaction datasets for matching, reconciliation, and exception handling.

You will collaborate with data scientists and software engineers, deploying end-to-end ML pipelines, models, and services with strong emphasis on observability, testing, and scaling.