Description:
7-10 years of experience in data science, with a focus on AI and machine learning applications. Proficiency in programming languages such as Python, R, or Scala, and experience with data manipulation libraries (e.g., Pandas, NumPy). Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data visualization tools (e.g., Tableau, Matplotlib). Experience with cloud platforms (e.g., AWS, Azure, Google Cloud Platform) and big data technologies (e.g., Hadoop, Spar
Sep 8, 2025;
from:
dice.com