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Data Scientist (Gen AI)
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Job Description
Job Description
Job Description:
BA or MA in Computer Science, Mathematics, Statistics, or related field, Ph.D. advantage
Experience in machine learning Or Generative AI.
Hands-on experience with creating and deploying machine learning models in production environments, with a track record of successful implementation.
Proficiency in Python including experience with Data Science frameworks such us: NumPy, Pandas, Scikit-Learn, XGBoost, Keras, Tensorflow, PyTorch
Demonstrated expertise in various facets of Generative AI and Large Language Models. This includes, but is not limited to, the following areas:
prompt engineering, Retrieval Augmented Generation (RAG) Models, fine-tuning of LLM models, LLM quality evaluation, responsible AI practices, including bias mitigation and fairness
Experience in Big data Systems and ETL processes
Proficiency in SQL
BA or MA in Computer Science, Mathematics, Statistics, or related field, Ph.D. advantage
Experience in machine learning Or Generative AI.
Hands-on experience with creating and deploying machine learning models in production environments, with a track record of successful implementation.
Proficiency in Python including experience with Data Science frameworks such us: NumPy, Pandas, Scikit-Learn, XGBoost, Keras, Tensorflow, PyTorch
Demonstrated expertise in various facets of Generative AI and Large Language Models. This includes, but is not limited to, the following areas:
prompt engineering, Retrieval Augmented Generation (RAG) Models, fine-tuning of LLM models, LLM quality evaluation, responsible AI practices, including bias mitigation and fairness
Experience in Big data Systems and ETL processes
Proficiency in SQL
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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