Data Analysis
Conduct thorough analysis of large datasets to extract meaningful insights and patterns to inform model improvements.
Model Development 
Design, develop, and refine large language models to enhance natural language processing (NLP) capabilities.
Algorithm Optimization
Implement and optimize machine learning algorithms to improve model accuracy, efficiency, and scalability.
Collaboration
Work closely with cross-functional teams including software engineers, product managers, and domain experts to integrate LLM solutions into products.
Research
Stay up-to-date with the latest advancements in AI and machine learning, particularly in the field of LLM, and incorporate relevant innovations into ongoing projects.
Documentation
Prepare comprehensive documentation for developed models, including methodologies, algorithms, and performance metrics.

Experience
(3+ years) in data science or a related field
Hands-on experience with large language models like GPT, BERT, or similar
Technical Skills
programming languages such as Python, R, or Java
Experience with machine learning frameworks such as TensorFlow, PyTorch, or similar
Strong knowledge of NLP techniques and tools
Familiarity with data visualization tools like Tableau, Matplotlib, or similar
Soft Skills
Excellent problem-solving skills with a keen attention to detail
Strong communication skills in English, both written and verbal, to articulate complex concepts to non-technical stakeholders
Ability to work independently as well as in a collaborative team environment
At best
Experience with cloud platforms like AWS, Google Cloud, or Azure
Experience with Deep Learning Models