Description


Master's degree in Computer Science, Statistics, Mathematics, or a related field required. 
Ph.D. preferred
3-5 years of experience in applying deep learning methods to text data, including natural language processing, text classification, sentiment analysis, or other related applications. 
Strong background in machine learning, statisticalmodeling, and datamining
Proficiency in Python and experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX. 
Familiarity with big data tools such as Spark, or similar technologies. 
Experience designing and implementing large-scale data pipelines and processing systems. 
Familiarity with cloud platforms (AWS, GCP, or Azure), CI/CD tools (Jenkins) and containerization technologies (Docker, Kubernetes). 
Strong programming skills in Python and experience working with version control systems (Git).

Education

Master's degree