Data Scientist
Job Responsibilities:
- Develop and optimize state-of-the-art generative AI models for foreign language proficiency testing and education tasks. Use and extend state of the art NLP techniques including large language model fine-tuning, natural language understanding, and content generation.
- Design and implement scalable algorithms and pipelines to handle extensive text datasets in high-performance computing (HPC)environments.
- Collaborate with software engineers, data scientists, and domain experts to delivered-to-end AI solutions for a variety of text-centric applications.
- Conduct research on novel methodologies, staying current with emerging trends in machine learning, generative AI, and NLP.
- Present technical findings to both expert and non-expert audiences, providing clear explanations of complex concepts and proposed solutions.
Skills:
- Proficiency in Python, with demonstrable experience developing and implementing algorithms for AI/ML workflows.
- Strong background in natural language processing, machine learning, and generative AI, with a portfolio of relevant coursework, publications, or project work.
- Hands-on experience with data science pipelines, including data cleaning, preparation, and visualization, for large-scale text corpora.
- Familiarity with high-performance computing (e.g., supercomputers, clusters, or cloud infrastructure) and the associated challenges of large-scale AI model development
- Experience with deep learning frameworks for building and training complex human language technology systems.
- Familiarity with responsible AI principles, model interpretability, and ethical considerations in large language model deployment.
- Proven experience collaborating on shared code repositories (e.g., Git),contributing to communal software projects or technical communities.
- Enthusiasm for learning new technologies and exploring innovative applications of generative AI.
- (Bonus) Demonstrated interest in learning foreign languages
Education/Experience:
- Master’s degree (or equivalent professional experience) in Computer Science, Math, AI/ML, Data Science, Statistics, Applied Linguistics, or a related field
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