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Assist in the design and implementation of Gen AI models and algorithms.
Conduct literature reviews and summarize relevant research findings.
Collaborate with team members to develop and optimize machine learning and deep learning models.
Participate in experiments, analyze data, and interpret results.
Help maintain and improve existing AI systems and applications.
Document research processes and results clearly and concisely.
Assist in ad-hoc tasks and projects as assigned, supporting team initiatives.
Stay updated with the latest trends and advancements in AI and machine learning.
Requirements :
Currently pursuing a degree or above in Computer Science, Data Science, Artificial Intelligence, or a related field.
Basic understanding of AI concepts, machine learning, and deep learning frameworks (e.g., TensorFlow, PyTorch).
Familiarity with programming languages such as Python.
Knowledge of data preprocessing, feature engineering, and model evaluation techniques.
Strong analytical and problem-solving skills.
Excellent communication and teamwork abilities.
Eagerness to learn and adapt to new technologies and methodologies.
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading conferences.
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