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Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
4–8+ years of experience in Data Science, Machine Learning, or Analytics.
Strong programming skills in Python and SQL.
Experience with machine learning libraries such as Scikit-learn, TensorFlow, PyTorch, or XGBoost.
Strong understanding of statistics, probability, and predictive modeling.
Experience with data visualization tools such as Power BI, Tableau, or Matplotlib.
Hands-on experience with cloud platforms (AWS, Azure, or Google Cloud Platform).
Experience working with large datasets using Spark, Hadoop, or Databricks is a plus.
Knowledge of MLOps, model deployment, and CI/CD pipelines is preferred.
Excellent analytical, problem-solving, and communication skills.
Job ID: 150860821
Skills:
Sql, Python, AI tools, R
Skills:
Tensorflow, Numpy, Machine Learning, Pandas, Pytorch, MLops, Python, Deep Learning, Scikit-learn, Data Analysis, Time-Series Analysis
Skills:
Machine Learning, Sql, Spark, Databricks, Azure, Python, LangChain, data manipulation techniques, big data processing frameworks, Open AI services, prompt engineering, AutoGen, LangGraph, R, Llamaindex
Skills:
Spotfire, Machine Learning, Bi Tools, Power Bi, Predictive Modeling, Qlik, Tableau, Sql, Python, Statistical Analysis, data visualization tools
Skills:
Computer Vision, Deep Learning, Multimodal Analysis, Visualization Communication, Programming Data Engineering, MLOps Deployment
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