Ph.D. Data Scientist (AI, NLP, NLU, Generative AI)
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Job Description
Structured overview of role & requirementsAbout This Role
Lead research and development of AI, NLP, NLU, and Generative AI models to solve complex problems and improve systems.
Design, train, evaluate, and optimize machine learning algorithms and deep learning models for NLP and Generative AI applications.
Collaborate with cross-functional teams to deploy machine learning models into production and document findings for knowledge sharing.
Minimum Requirements
Ph.D. in Computer Science, Data Science, Machine Learning or related field is mandatory.
Proven expertise in AI, NLP, NLU, and Generative AI with a strong publication record in relevant conferences and journals.
Proficiency in programming with Python and familiarity with libraries such as NLTK, TensorFlow, PyTorch, or spaCy.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Strong research background evidenced by publications in AI, NLP, and related areas indicating ability to handle complex, open-ended problems.
Experience working with deep learning frameworks and statistical analysis suited for unstructured text data and advanced AI applications.
Ability to bridge research and engineering teams for model deployment and optimize model performance in a production environment.