Key Responsibilities:
Model Development: Lead the design and development of NLP and other models to enhance LLM capabilities.
Data Analysis: Drive data exploration and analysis to uncover actionable insights that inform model development and performance improvements.
Feature Engineering: Identify, create, and optimize features that enhance model accuracy and performance.
Model Evaluation: Conduct comprehensive testing, validation, and performance evaluation of models to ensure high reliability and effectiveness.
LLM Development: Collaborate closely with team members to build, refine, and optimize the LLM to meet evolving project requirements.
Leadership & Collaboration: Work cross-functionally with data engineers, developers, and stakeholders to integrate models into applications and systems.
Mentorship: Provide guidance and mentorship to junior data scientists and other team members, helping to develop best practices and ensure technical excellence.
Requirements
Required Skills & Experience:Strong proficiency in Python and key data science libraries .
Extensive experience with LLMs, including prompt engineering, fine-tuning, and model optimization.
Expertise in data exploration and feature engineering for model improvement.
Proven track record of model evaluation, performance optimization, and validation.
Ability to thrive in a fast-paced environment and contribute effectively in a senior role.
Excellent problem-solving skills and the ability to implement innovative solutions.
Strong communication and collaboration skills to work with cross-functional teams.
Preferred Skills (Not Essential):
Experience with graph-based processing and graph algorithms.
Familiarity with advanced NLP techniques and language model fine-tuning.
Education & Experience:
Master's degree or PhD in Computer Science, Data Science, or a related field, or equivalent practical experience.
At least 5 years of experience in a Data Scientist role, with a proven ability to work at a senior level and contribute to complex projects.