Senior Data Scientist
Tasks
- Build and optimize computer vision models
- Collaborate with IT and product teams
- Containerize models and support production deployment
- Create time series forecasting and anomaly detection pipelines
- Define generative AI roadmaps and LLM powered tools
- Deploy ML models using cloud and edge workflows
- Design and deliver production grade AI solutions
- Develop and test AI POCs
- Mentor and build data science and AI teams
- Perform NLP and text mining
Perks/Benefits
Skills/Tech-stack
3D Reconstruction | Anomaly Detection | Azure Data | Azure Data Lake | Azure IoT | Azure IoT Hub | Computer Vision | DVC | Data Lake | Deep learning | Device optimization | Docker | Edge Device Optimization | Fine Tuning | Generative AI | Hugging Face | Image Frame Generation | Image Segmentation | Image upscaling | IoT Hub | Kafka | Keras | LLM Fine-tuning | Language Processing | MLflow | Machine Learning | Mask RCNN | Matplotlib | Model Quantization | Natural Language | Natural Language Processing | NumPy | ONNX | Object Detection | OpenCV | Pandas | Predictive Maintenance | Prompt engineering | PySpark | PyTorch | RAG | SQL | SciPy | Scikit-learn | Seaborn | Series analysis | Spacy | TensorFlow | TensorRT | Time Series | Time Series Analysis | Transformers | YOLO
Education
Roles
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