Data Scientist
Tasks
- Apply advanced AI techniques for few shot learning generative AI and multimodal fusion
- Build MLOps pipelines using model monitoring data drift detection versioning and automated testing
- Communicate technical concepts and project outcomes to technical and non technical stakeholders
- Coordinate cross functional collaboration on data science projects including technical writing and mentoring
- Design and implement computer vision systems for object detection image segmentation anomaly detection automated inspection
- Develop and deploy deep learning models for image classification time series anomaly detection and multimodal sentiment analysis
- Extract cleanse and analyze large scale datasets from SQL databases cloud platforms and sensor networks
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Airflow | Apache Spark | C++ | CNN | Dash | Docker | GCP | Generative AI | Git | GitHub | Hadoop | Java | Keras | LSTM | MLflow | Multimodal fusion | OpenCV | Plotly | Power BI | PyTorch | Python | RGB-D | SQL | Sentiment Analysis | Spark | Spotfire | TensorFlow | Time Series | Transformer | YOLO
Education
Roles
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