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Data Scientist

RiDiK (a Subsidiary of CLPS. Nasdaq: CLPS)
Dhahran, KSA
fulltime
Mid-Senior
4 days ago
Machine LearningStatistical AnalysisData VisualizationPythonRSQL
Free

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Machine LearningStatistical AnalysisData Visualization
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  • Develop and deploy machine learning and deep learning models for time series forecasting, NLP, and sensor/IoT data analysis.
  • Fine-tune and deploy state-of-the-art (SOTA) models, including LLMs, using frameworks like HuggingFace, and methods like LoRA, Q-LoRA, and full model fine-tuning.
  • Implement and evaluate bagging and boosting models (e.g., XGBoost, LightGBM, CatBoost) for structured and sensor data.
  • Design and optimize neural network architectures, including CNNs, RNNs, Transformers, and attention-based models using PyTorch.
  • Build and evaluate model performance using appropriate metrics and validation strategies.
  • Work with smart sensor data and IoT systems, extracting features and building predictive models for anomaly detection, failure prediction, and optimization.
  • Develop and expose model inference as REST APIs using FastAPI or similar web frameworks.
  • Collaborate with DevOps and engineering teams to operationalize models using Docker, CI/CD pipelines, and cloud platforms.
  • Maintain and improve data pipelines, feature engineering, and model monitoring in production environments.

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