AI Engineer

Position Summary

AI/ML Engineer
– We are seeking an experienced AI/ML engineer to develop and implement innovative AI solutions, design and optimize models, and collaborate with cross-functional teams to drive business growth. The ideal candidate should have strong expertise in Python, TensorFlow, PyTorch, and deep understanding of machine learning algorithms.

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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