Senior Assistant Vice President-Data Science-Gen AI Engineer

5 - 9 years

0 Lacs

Posted:2 days ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

Role Overview: You will be responsible for designing, training, and fine-tuning large language models, transformer-based models, and diffusion models for specific business use cases. Additionally, you will stay updated on emerging GenAI trends and drive proof-of-concept initiatives. Your role will involve curating and preprocessing large-scale structured and unstructured datasets for model training and evaluation. You will also apply advanced techniques to optimize model performance and efficiency, collaborate with ML engineers for model deployment, and lead technical discussions while contributing to strategic AI roadmap planning. Key Responsibilities: - Design, train, and fine-tune large language models, transformer-based models, and diffusion models for specific business use cases. - Stay ahead of emerging GenAI trends and drive proof-of-concept initiatives. - Curate and preprocess large-scale structured and unstructured datasets for model training and evaluation. - Apply advanced techniques such as model distillation, prompt engineering, retrieval-augmented generation (RAG), and fine-tuning to improve performance and efficiency. - Collaborate with ML engineers to deploy and scale models using cloud infrastructure (AWS, Azure, GCP) or specialized platforms (OpenAI, Hugging Face, Vertex AI). - Develop metrics and frameworks to assess generative models on quality, safety, bias, and factual consistency. - Mentor junior data scientists, lead technical discussions, and contribute to strategic AI roadmap planning. Qualification Required: - Bachelor's or Master's degree in Computer Science, Data Science, or related field. - Strong experience in designing and training large language models and transformer-based models. - Proficiency in preprocessing large-scale structured and unstructured datasets. - Knowledge of advanced techniques such as model distillation, prompt engineering, and fine-tuning. - Experience with cloud infrastructure (AWS, Azure, GCP) or specialized platforms (OpenAI, Hugging Face, Vertex AI). - Leadership skills to mentor junior data scientists and lead technical discussions.,

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