Data Scientist / AI Engineer (d/m/w)
Tasks
- Analyze and explore AI use cases
- Build and improve data and AI platforms with event streaming and containers
- Deploy orchestrate operate and monitor AI applications
- Develop AI and data driven solutions for semiconductor manufacturing
- Develop proofs of concept to production
- Implement anomaly detection
- Implement predictive maintenance
- Improve data quality data interfaces documentation and governance
- Integrate AI models data pipelines and AI services into production systems
- Investigate AI agents and agent based workflows
- Optimize processes with AI
- Train and provide technical guidance to engineers and business teams
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | Anomaly Detection | Apache Kafka | CI/CD | Containerization | Data Engineering | Data Pipelines | Deep learning | Docker | Event Streaming | Kubernetes | MLOps | Machine Learning | Model Deployment | OpenShift | Predictive Maintenance | Process optimization | PyTorch | Python | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Data Scientist | Engineer | Learning Engineer | Machine Learning Engineer | Scientist
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