Job Description

Responsibilities


  • Design and optimize ML models for time series forecasting, anomaly detection, and computer vision (e.g., quality inspection)

  • Apply advanced techniques such as LSTM, CNN, XGBoost, PCA, clustering, and Explainable AI (e.g., SHAP, LIME)

  • Analyze structured and unstructured data from operational and sensor systems

  • Develop and maintain robust ML pipelines for training, validation, deployment, and monitoring

  • Collaborate with data engineers, solution architects, and IoT/Edge teams to ensure scalable integration

  • Use SQL and BI tools (e.g., Power BI) to prepare and visualize large datasets

  • Work with cloud platforms (e.g., AWS, Azure, GCP) for model deployment and MLOps lifecycle management

    • Your Profile:

  • 3+ years of hands-on experience developing and deploying ML models in production environments

  • Strong Python skills and experience w...

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