Lead AI strategy workshops, translate business challenges into scalable AI architectures, and implement end-to-end AI/ML solutions, including classical ML models and Generative AI applications
Build and operationalize MLOps pipelines using cloud-native tools, applying software engineering principles such as CI/CD, containerization, Infrastructure as Code, and prompt engineering
Support pre-sales efforts and lead hands-on development of PoCs and MVPs
Communicate AI capabilities to both technical and non-technical audiences, while mentoring junior team members and shaping internal best practices for AI delivery

Requirements

Master's degree in Computer Science or related field with 8+ years of experience in AI/ML solution architecture
Proven track record of designing and deploying enterprise-grade ML/AI pipelines, including proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch)
Experience with cloud-native MLOps tools and practices, including CI/CD, containerization, and Infrastructure as Code
Excellent communication skills in both German and English, with ability to lead client-facing engagements and mentor junior team members
Deep expertise in Generative AI and experience with modern data platforms

Benefits

Flexible Working Time - Always adapting to your current needs
Flexible Working Place - In our Vienna office or at your Homeoffice anywhere in Austria
Corporate Health - Because we care for you
Social Events - We get together and have fun
Unique Corporate Culture - In our hearts, not just talk
The latest Technology - For the brightest minds
Development Initiatives - Life long learning is not a cliché
Modern Office - Where everyone feels welcome

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

AI architectureML modelsGenerative AIMLOps pipelinesCI/CDcontainerizationInfrastructure as CodePythonTensorFlowPyTorch

communication skillsmentoringclient-facing engagementleadership

Master's degree in Computer Science