Data Scientist
Tasks
- Apply AI techniques for multimodal analysis
- Collaborate with cross-functional teams
- Communicate project outcomes to technical and non technical stakeholders
- Coordinate production deployment using MLOps best practices
- Design and implement computer vision systems
- Develop and deploy deep learning models
- Extract cleanse and analyze large scale datasets
- Monitor models for data drift and performance
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Anomaly Detection | Apache Airflow | Automated testing | C++ | CNN | Computer Vision | Data Drift | Data Drift Detection | Data Versioning | Data handling | Deep learning | Docker | Drift Detection | Few-Shot Learning | Few-shot | GCP | Generative AI | Git | GitHub | Hadoop | Image Segmentation | Java | Keras | LSTM | MLOps | MLflow | Missing data | Missing data handling | Model Monitoring | Multimodal fusion | Object Detection | OpenCV | Outlier Detection | PyTorch | Python | RGB-D | SQL | Sentiment Analysis | Series analysis | Spark | TensorFlow | Time Series | Time Series Analysis | Transformer | YOLO
Education
Roles
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