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Job Description: We are seeking a Data Scientist with strong expertise in AI/ML, AWS, Big Data, and Python to join our data-driven team. You will design, build, and deploy scalable machine learning models and data pipelines that drive key business decisions. Key Responsibilities: Develop and implement machine learning models for classification, regression, clustering, and forecasting. Work with large-scale structured and unstructured data using Big Data tools (e.g., Spark, Hadoop). Build data pipelines and deploy models on AWS cloud services (e.g., S3, SageMaker, Lambda, EMR). Conduct exploratory data analysis and feature engineering using Python (NumPy, Pandas, Scikit-learn, etc.). Collaborate with engineering, product, and analytics teams to integrate models into production systems. Continuously improve model accuracy and performance through testing and experimentation. Required Skills: Strong programming skills in Python and experience with ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch). Experience with AWS services for data processing and model deployment. Familiarity with Big Data technologies like Hadoop, Spark, Hive, or similar. Show more Show less
