AI/ML Data

You are expected to be strong in data mining, data visualization, and handling large data sets. Your experience with Python, R, SQL or equivalent languages and tools is crucial for this role. Additionally, you should have experience with Machine Learning tools like PyTorch, Caffe, TensorFlow, or Spark for ML model development and implementation. Your understanding of predictive analytics and Cloud technologies such as AWS, Azure, Google, and SAP will be beneficial for this position. You must also possess strong knowledge and experience in processing structured, semi-structured, and unstructured data. Proficiency in data visualization and BI tools such as SAP Analytics Cloud, Tableau, etc., is required. Key Responsibilities: - Strong background in data mining, data visualization, and handling large data sets - Experience with Python, R, SQL or equivalent languages and tools - Proficiency with Machine Learning tools such as PyTorch, Caffe, TensorFlow, or Spark for ML model development and implementation - Understanding of predictive analytics - Knowledge of Cloud technologies like AWS, Azure, Google, and SAP - Experience in processing structured, semi-structured, and unstructured data - Familiarity with data visualization and BI tools such as SAP Analytics Cloud, Tableau, etc. - Collaborating directly with the user community on requirements collection, improvements, and support Qualifications Required: - Proficient in Python, R, SQL or equivalent languages and tools - Experience with Machine Learning tools such as PyTorch, Caffe, TensorFlow, or Spark - Strong understanding of predictive analytics - Familiarity with Cloud technologies like AWS, Azure, Google, and SAP - Experience processing structured, semi-structured, and unstructured data - Knowledge of data visualization and BI tools such as SAP Analytics Cloud, Tableau, etc. Please note that additional company details were not provided in the job description. You are expected to be strong in data mining, data visualization, and handling large data sets. Your experience with Python, R, SQL or equivalent languages and tools is crucial for this role. Additionally, you should have experience with Machine Learning tools like PyTorch, Caffe, TensorFlow, or Spark for ML model development and implementation. Your understanding of predictive analytics and Cloud technologies such as AWS, Azure, Google, and SAP will be beneficial for this position. You must also possess strong knowledge and experience in processing structured, semi-structured, and unstructured data. Proficiency in data visualization and BI tools such as SAP Analytics Cloud, Tableau, etc., is required. Key Responsibilities: - Strong background in data mining, data visualization, and handling large data sets - Experience with Python, R, SQL or equivalent languages and tools - Proficiency with Machine Learning tools such as PyTorch, Caffe, TensorFlow, or Spark for ML model development and implementation - Understanding of predictive analytics - Knowledge of Cloud technologies like AWS, Azure, Google, and SAP - Experience in processing structured, semi-structured, and unstructured data - Familiarity with data visualization and BI tools such as SAP Analytics Cloud, Tableau, etc. - Collaborating directly with the user community on requirements collection, improvements, and support Qualifications Required: - Proficient in Python, R, SQL or equivalent languages and tools - Experience with Machine Learning tools such as PyTorch, Caffe, TensorFlow, or Spark - Strong understanding of predictive analytics - Familiarity with Cloud technologies like AWS, Azure, Google, and SAP - Experience processing structured, semi-structured, and unstructured data - Knowledge of data visualization and BI tools such as SAP Analytics Cloud, Tableau, etc. Please note that additional company details were not provided in the job description.