Job
- Level
- Senior
- Job Feld
- Data, Application
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Wien
- Arbeitsmodell
- Onsite
Job Zusammenfassung
In dieser Rolle entwickelst du leistungsstarke ML-Systeme für die Verarbeitung und Abstimmung finanzieller Daten, transformierst Prototypen in produktionsreife Lösungen und betreibst diese in einer robusten, skalierbaren Umgebung.
Job Technologien
Deine Rolle im Team
- We are looking for a Senior Machine Learning Engineer to build, ship, and operate the machine learning and AI solutions at the core of SmartStream's financial data processing and reconciliation platforms.
- Working with our data scientists, you will turn prototypes into cohesive, production-ready systems, using large and complex financial transaction datasets to power capabilities such as transaction matching, reconciliation, and exception handling.
- You will work across the full spectrum of applied AI, from classical machine learning (supervised, unsupervised, and deep learning) to agentic AI solutions built on large language models, tool use, and multi-step reasoning.
- This is a hands-on engineering role.
- The emphasis is on productionising: turning models into robust, well-tested, observable services and keeping them accurate and reliable in production.
- You will own existing ML services end to end and evolve them, working closely with software engineers, data scientists, product managers, and domain experts to turn real-world reconciliation challenges into dependable software.
- Develop, deploy, and maintain machine learning models and services, and keep existing ones performant and robust.
- Translate research artefacts and prototypes into production-grade ML systems: hardening code, adding tests and observability, and owning deployment, scaling, and lifecycle management.
- Own model serving, monitoring, drift detection, and retraining in production.
- Engineer and evaluate features on real financial datasets, and calibrate and validate models for reliable behaviour.
- Collaborate with software engineers and data scientists on the surrounding data and matching platform.
- Document methods and decisions to keep models transparent and reproducible.
Unsere Erwartungen an dich
Ausbildung
- Degree in Computer Science, Engineering, Statistics, Mathematics, or a related field, or equivalent practical experience.
Qualifikationen
- Strong software engineering in Python: clean, typed, well-tested code, version control, and CI/CD.
- Strong proficiency with the scientific Python stack (NumPy, Pandas, scikit-learn, PyTorch) and a solid, practical grasp of machine learning, statistics, and model evaluation.
- Feature engineering on structured/tabular data, and sound model evaluation and validation.
- Ability to work with large datasets and build reliable data pipelines.
- Clear communication with technical and business stakeholders.
- Strong problem-solving skills and a pragmatic, ownership-driven approach to shipping reliable software.
Erfahrung
- Experience taking ML models into production and operating them there (serving, monitoring, retraining), not just building them in notebooks.
- Experience building and running production services and APIs (e.g. FastAPI or Flask), containerised and deployed on Kubernetes or similar.
- 4-6+ years in machine learning engineering, or software engineering with a strong ML component.
- Experience delivering and operating ML models in production.
- Experience working in cross-functional teams delivering software products.
Unser Angebot
- Smartstream is an equal opportunities employer.
- We are committed to promoting equality of opportunity and following practices which are free from unfair and unlawful discrimination.
Benefits
Work-Life-Integration
Essen & Trinken
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
SmartStream Technologies GmbH
Wien
Wir sind ein globaler Software- und Service Provider, der im Finanzdienstleistungssektor tätig ist und über 1.500 Kunden weltweit betreut - darunter auch 70 der Top 100 Banken.
Description
- Gründungsjahr
- 2000
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Onsite
- Branche
- Internet, IT, Telekom
Arbeitgeber-Reviews
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Senior Machine Learning Engineer
- Ort
- Wien
- Arbeitsmodell
- Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
