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Architect (Generative AI & LLM expert)

7 - 11 years

0 Lacs

karnataka

Posted:23 hours ago| Platform: Shine logo

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Skills Required

machine learning natural language processing deep learning leadership skills strategic thinking generative ai llm model training finetuning data preparation preprocessing prompt engineering model evaluation optimization collaboration with crossfunctional teams documentation reporting managing training llm models generating embeddings semantic search via vector dbs mlops experience machine learning pipelines model optimization feature engineering database indexing data retrieval methods deploying ml models in cloud environments optimizing model inference

Work Mode

On-site

Job Type

Full Time

Job Description

Role Overview: As a Generative AI & LLM expert, you will be responsible for supporting the AI and ML team in designing, developing, fine-tuning, and deploying large language models and generative AI applications. This role offers a unique opportunity to work on cutting-edge AI technologies and enhance your skills in machine learning, natural language processing, and deep learning. Key Responsibilities: - Architect robust systems to integrate LLMs and support retrieval workflows. - Provide guidance on the use of Vector DBs and model deployment on cloud platforms. - Optimize the fine-tuning process for business-specific LLM use cases. - Design applications with on-premise/cloud-based LLM, RAG, Langchain. - Assist/build in training and fine-tuning large language models (e.g., GPT, LLaMA) on domain-specific data. - Work with large datasets, perform data cleaning, tokenization, and prepare text data for model training and evaluation. - Experiment with and refine prompt techniques for various generative AI applications. - Help in evaluating models using metrics such as BLEU, ROUGE, and perplexity. - Collaborate with cross-functional teams to develop scalable AI solutions. - Document processes, model architectures, and code; assist in creating model cards and writing reports for stakeholders. - Manage and train LLM models (e.g., fine-tuning llama3.1). - Generate embeddings and manage semantic search via Vector DBs. Qualifications: - Completed a Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Additional Company Details: Omitting this section as no additional company details are provided in the job description.,

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