Expert in 3D Point Cloud Data Analytics (f/x/m)

Qapture; Linz; Vor Ort; EUR 31.136 - 42.162; Vollzeit

Benefits dieser Stelle

Hybrid work model (Office & Remote)

Collaboration on JKU campus

R&D partner collaboration

Zusammenfassung

Qapture in Linz is hiring to build and deploy infrastructure enabling machine learning engineers to work with state-of-the-art tools. You will operate applications and services in a ML environment and contribute to continuous data strategy improvements.

The role involves CI/CD pipeline development, documentation preparation, and coordination with R&D partner SCCH. Hybrid work model with work-from-home or on-site options is offered, with a salary starting at 3,285 € gross monthly, paid 14 times a

Qualifikationen

• Proficient in functional programming languages such as C/C++ (CUDA) and Python.
• Knowledge of software operations, such as deployment, monitoring, and performance analysis.
• Experience with Git, DevOps, and ML pipelines.
• Experience with well-known AI/ML libraries (TensorFlow, Scikit-learn).
• Customer-centric approach and active participation in forward-looking product development.

Aufgaben

• Build and deploy an infrastructure to enable ML engineers with state-of-the-art tools.
• Operate applications and services in a ML environment.
• Continuously improve the data strategy.

Kenntnisse

C/C++ (CUDA)

Python

Git

DevOps

ML pipelines

Tools

TensorFlow

Scikit-learn

CUDA

Jobbeschreibung

• Building and deploying an infrastructure to enable our machine learning engineers to work with state-of-the-art tools and technologies
• Operating Applications and Services in a Machine Learning Environment
• Continuous Improvement of Our Data Strategy
• Development and Maintenance of CI/CD Pipelines
• Preparation of the relevant documentation
• Active communication and coordination with our R&D partner, SCCH

Your qualifications and strengths

• You are proficient in functional programming languages such as C/C++ (CUDA) and Python
• Knowledge of software operations, such as deployment, monitoring, and performance analysis
• Experience with Git, DevOps, and, ideally, machine learning pipelines
• Experience with well-known AI/ML libraries (e.g., TensorFlow, Scikit-learn)
• You approach technical issues from the customer’s perspective and actively participate in forward-looking product development
• Passion for developing cloud-based web applications
• High product quality is achieved through the collaboration of all those involved as a team and through continuous improvement.
• Experience in the technical management of projects is a plus
• Opportunity to build a team and take on the technical leadership of our projects
• A high degree of personal responsibility and short decision-making processes
• Work-Life Balance – Flexible Work Schedules and Hybrid Work Models (Office & Remote)
• A high degree of creative freedom—as part of the solution, you can contribute at every level
• Diverse career opportunities as part of a growing startup
• A state-of-the-art work environment on the JKU campus and collaboration with research institutes
• Plenty of room to experiment and grow both professionally and personally

Working model: Working from Home or Working on-Site

Salary: from 3.285 €
gross monthly salary, paid 14 times a year. Overpayment depending on qualifications and professional experience