Quality Data & AI Engineer
Tasks
- Build machine learning and deep learning models for defect detection and predictive analytics
- Create dashboards and reporting with Looker Studio and SQL
- Create desktop and web applications for engineering teams using Python frameworks
- Deploy AI applications on Google Cloud Platform
- Design data pipelines for collecting transforming and analyzing data
- Design end to end AI and data solutions for manufacturing quality
- Develop Python automation tools for engineering and quality workflows
- Develop computer vision applications for image processing and defect detection
- Ensure AI solutions scalability security maintainability and performance
- Implement generative AI solutions with LLMs and RAG
- Integrate databases APIs and enterprise systems with manufacturing data sources
- Perform statistical process analysis including capability and correlation analysis
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | BigQuery | CNN | Capability analysis | Cloud Run | Cloud Storage | Computer Vision | Correlation Analysis | Data Pipelines | Deep learning | GCP | Gage R and R | Generative AI | Image Processing | Language Models | Large Language Models | Looker Studio | Machine Learning | Process Capability | Process Capability Analysis | Python | R and R | Retrieval-Augmented Generation | SQL | Statistical Analysis | Vertex AI
Education
Roles
AI | AI Engineer | Data Engineer | Data Scientist | Engineer | Learning Engineer | Machine Learning Engineer | Scientist
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