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# Senior AI / ML Engineer (Python)

- **Company:** IESF AG
- **Location:** Wien, Austria
- **Experience:** Expert
- **Salary:** €104,000.0 - €116,480.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Decision Support Systems, Linux, JSON, Python (Programming Language), Machine Learning, Meta-Data Management, Object Detection, Tensorflow, Service-Oriented Architecture, Software Engineering, Windows Desktop, Pytorch, Large Language Models, IT Architecture, Deep Learning, Git, ONNX (Open Neural Network Exchange) Format, Software Version Control, Data Pipelines
- **Published:** August 27, 2026
- **Apply:** https://www.xing.com/jobs/vienna-senior-ai-ml-engineer-python-146735697

## About the Role

* University degree in IT or relevant field
 * Minimum 7 years of relevant working experience in IT;
 * More than 5 years of experience in the design and implementation of data processing pipelines;
 * More than 5 years of experience in the design and implementation of AI/ML based decision support systems;
 * More than 5 years of experience in developing software packages using Python;
 * More than 5 years of experience in developing Deep Learning Solutions for processing image data (convolutional networks);
 * More than 5 years of experience in major AI software frameworks like PyTorch, TensorFlow and model formats like ONNX;
 * More than 5 years of experience in applying software engineering principles;
 * Experience with developing Large Language Models or multimodal models processing image data;
 * Experience with building JSON REST, including building and deployment of service-oriented architecture components;
 * Experience with ClearML or similar platform for streamlining AI development and deployment;
 * Knowledge of models for real-time object detection and image segmentation (e.g., YOLO);
 * Familiarity with Windows and Linux operating systems;
 * Familiarity with Git source control;
 * Excellent command of the English language.

## Description

* Development of AI/ML models;
 * AI solution analysis, design and implementation;
 * Deploy machine learning models and AI solutions into production environments;
 * Propose adequate machine learning models to extract valuable insights;
 * Support the development of generative AI solutions;
 * Contributing to the design of the IT architecture considering master- and meta-data management concepts;
 * Engage with various teams, analyze business requirements and translate them into AI solutions.


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