Jedify is offering a $3,500 referral bonus for this job!

Jedify - a startup in stealth mode, founded by experienced successful entrepreneurs, that is building a GenAI analytics product, and has raised a significant seed round from top tier VCs - is searching for a Data Scientist to join its team and take on a role in creating a world-class SaaS product that delivers unique and significant value by leveraging generative AI and large language models.

Responsibilities:

• Take part in the development and deployment of advanced machine learning models to solve semantic parsing problems.

• Design and develop models for tasks such as Classification, Similarity, Clustering, Named Entity Recognition (NER), Unsupervised learning and other semantic parsing related tasks.

• Collaborate with cross-functional teams, including engineers, product managers, and data scientists, to understand business challenges and design data-driven solutions.

• Implement and maintain grounding techniques and other related methodologies to improve the accuracy and efficiency of data analysis processes.

• Utilize and fine-tune large language models, to enhance the performance of NLP tasks.

• Stay up-to-date on the latest advances in the field and apply an innovative approach

  Requirements:

• Minimum of 5 years of experience in data science, with practical experience building production grade models.

• M.Sc. or Phd in Computer Science, Mathematics, or a related field

• Experience with large language models, transformers, and fine-tuning techniques.

• Proficiency in Python and experience with machine learning libraries and frameworks.

• Strong experience with large language models, transformers, and fine-tuning

  techniques.

• Strong experience in designing and developing NLP models

• Experience in causality analysis and predictive modeling - Advantage.

Benefits:

• Competitive salary and benefits package.

• Opportunity to work on cutting-edge technology.

• Chance to make a significant impact on a growing company at an early stage

• Collaborative and supportive work environment.