自動車データアナリスト/ AIモデル開発エンジニア Automotive Data Analyst and AI model Development Engineer
Tasks
- Build decision and planning models
- Build tracking and prediction models
- Collaborate with clients and development teams
- Contribute to automotive practice growth strategy
- Design and implement ADAS and AD data pipelines
- Design and implement perception models
- Design and implement sensor fusion models
- Develop ADAS and AD AI models for client applications
- Develop driver monitoring models
- Implement MLOps pipelines for model deployment
- Integrate cloud and edge data platforms
- Lead automotive data analysis and processing activities
- Manage databases and data storage for automotive data
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Amazon Redshift | Amazon S3 | Apache Airflow | Apache Flink | Azure | Azure Blob | Azure Blob Storage | Blob Storage | C++ | CI/CD | ClearML | Computer Vision | Confluence | Data Lake | Data Processing | Data pipeline | DevOps | Docker | ETL | GitHub | Image Processing | Java | Jira | Kafka | Kubeflow | Kubernetes | MATLAB | MLOps | MLflow | Python | Sensor Calibration | Sensor fusion | Simulink | Time Synchronization
Education
N/A
Roles
AI | AI Model Engineer | Analyst | Automotive Data Analyst | Data Analyst | Engineer | Model Engineer
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