Industrial AI Engineer
Tasks
- Design develop test and deploy AI and Machine Learning solutions for manufacturing and business operations
- Develop and deploy computer vision solutions
- Develop proof of concepts for emerging AI technologies
- Identify, evaluate, and prioritize AI use-cases
- Implement scalable data pipelines and AI workflows
- Integrate AI capabilities into applications and manufacturing systems
- Maintain technical documentation and operational procedures
- Monitor model performance and improve deployed solutions
- Support production incidents troubleshooting and root cause analysis
Perks/Benefits
- N/A
Skills/Tech-stack
AI Services | API Development | Artificial Intelligence | Azure AI | Azure AI Services | Azure Data | Azure Data Factory | Azure DevOps | Azure Functions | Azure Machine Learning | Azure Monitor | Azure SQL | Azure Storage | CI/CD | Computer Vision | Data Factory | Data Modeling | Databricks | ELT | ERP | ETL | Edge Computing | Generative AI | GitHub Actions | Industrial IoT | Langchain | Language Models | Large Language Models | MES | Machine Learning | NoSQL | OpenCV | PLC | PyTorch | Python | RAG | Retrieval-Augmented Generation | SCADA | SQL | Scikit-learn | Snowflake | TensorFlow | Vector Databases | Version control | YOLO
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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