AI Engineer

Position Summary

Role and Responsibilities

Roles & Responsibilities:

- Design & development of Large Language Models
- LLM Model deployment
- analyze the large datasets to identify patterns and trends, and use this information to inform model development and optimization strategies.
- LLM Optimization: Optimize and fine-tune Large Language Models LLMs to meet specific domain requirements, ensuring high-quality outputs.
- Design, train, fine-tune, and optimize large language models for specific tasks.
 - Efficiently implementing ML applications, using the State-of-the-art methods for all stages of the ML development pipeline, beginning from data cleaning, feature engineering, model training and evaluation
 - Driving projects related to ML applications, beginning from requirement analysis, product understanding, stakeholder engagement, supervising development and efficient implementation

SWC Eligibility: Yes (Advance & above)

Skills and Qualifications

Skills Required:

- Expert in Design & development of Large Language Models
- Experience  in LLM Model deployment
- Experience to analyze the large datasets to identify patterns and trends, and use this information to inform model development and optimization strategies.
- Strong foundation in machine learning concepts and techniques, including deep learning architectures, natural language processing, and text generation.
- Must have 4+ Year experience in NLP Domain
 -  Experience in designing deep learning architectures, as well as implementing in a real world setting.
 - Experience in any Query Techniques (SQL / BigQuery etc).

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