Strong understanding of machine learning techniques, including supervised, unsupervised learning, time series analysis, and natural language processing.
Hands on experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
Experience in data preprocessing, feature engineering and model evaluation.
Proficiency with data mining, mathematics, and statistical analysis
Experience in pattern recognition and predictive modeling
Good knowledge of Linux operating system.
Proficiency with a programming language like Python and shell scripting to automate tasks
BS or MS in Computer Science, related field, or equivalent professional experience
Excellent problem solving, critical thinking, communication, and teamwork skills
Excellent written and verbal communication, able to collaborate and rally support
Self-disciplined, self-managed, self-motivated and strong sense of ownership, urgency, and drive
