Data Science

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
• 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 & LLM 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.