Senior ML Backend Engineer — Scalable ML Platform & MLOps

Jobgether; Österreich; Vor Ort; EUR 90.000 - 140.000; Vollzeit

Benefits dieser Stelle

Advanced ML challenges

Geospatial imagery exposure

Cloud-native infrastructure

Responsible AI practices

Collaborative environment

Career growth

Zusammenfassung

Jobgether in Austria is seeking a Senior ML Backend Engineer to build and evolve the ML infrastructure behind property intelligence solutions. You will combine backend engineering with ML operations to create scalable platforms for training, evaluation, deployment, and monitoring.

Work with ML engineers, researchers, and software teams to move innovative models from experimentation into production. You will use cloud-native tech, Kubernetes, automation, observability, and responsible AI

Qualifikationen

• Senior backend developer with strong ML infra experience.
• Experience building ML training, evaluation, deployment pipelines.
• Proficient in Python and ML tooling.
• Hands-on MLOps: CI/CD, monitoring, data lineage, governance.
• Experience with cloud-native architectures and Kubernetes.
• Familiarity with responsible AI principles.
• Strong communication and ability to explain technical concepts.
• Ability to collaborate with cross-functional teams.
• Academic degrees as described above; equivalent experience welcomed.

Aufgaben

• Build, maintain, and evolve scalable ML infrastructure for training, evaluation, deployment, and monitoring.
• Design reliable ML pipelines and tooling for large-scale workloads.
• Collaborate with ML researchers to productionize models.
• Develop automation, observability, reproducibility, data lineage, and governance.
• Evaluate new data sources and tools to improve model performance.
• Partner with software, product, and commercial stakeholders to deliver ML solutions.
• Apply AI-powered tools and LLM-based agents to automate workflows.
• Ensure ML systems meet security, governance, and responsible AI standards.
• Contribute to architectural decisions on scalability, reliability, and cost.

Kenntnisse

Backend software engineering

Python

MLOps

Cloud-native

Kubernetes

AI concepts

Communication skills

Collaboration

Security governance

Ausbildung

PhD in STEM

Master's degree with ML/CS focus

Bachelor's degree with experience

Tools

Deep learning frameworks

Experiment tracking

Version control

Containerization

CI/CD tooling

Monitoring tooling

Jobbeschreibung

Jobgether in Austria is seeking a Senior ML Backend Engineer to build and evolve the ML infrastructure behind property intelligence solutions. You will combine backend engineering with ML operations to create scalable platforms for training, evaluation, deployment, and monitoring.

Work with ML engineers, researchers, and software teams to move innovative models from experimentation into production. You will use cloud-native tech, Kubernetes, automation, observability, and responsible AI