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