Posted on 2025/02/02
Machine Learning Engineer - Applied AI
Capital One
New York, NY
Responsibilities
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You will be the driving force to experiment, innovate, and create next-generation experiences powered by the latest emerging generative AI technologies
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Harness the power of transformer model architectures to automatically identify emerging customer pain points in millions of call transcripts
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Fine-tune large language models (LLMs) and large multi-modal models (LMMs) for extractive and abstractive tasks to search for complex evidence statements in unstructured, multi-page documents images
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Manage large-scale data annotation projects by guiding frontline agents to curate high-quality datasets, delivering model improvements by proposing, managing, and monitoring improvements to data collection processes
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Work on a team of data scientists to build practical machine learning solutions through all phases of development, including designing, training, evaluating, and monitoring models
Full Description
Job Description
The Servicing Intelligence data science team leverages deep learning model architectures to help internal customers use unstructured, multi-modal data sources – text, image, and audio data.
You will be the driving force to experiment, innovate, and create next-generation experiences powered by the latest emerging generative AI technologies.
• Harness the power of transformer model architectures to automatically identify emerging customer pain points in millions of call transcripts.
• Fine-tune large language models (LLMs) and large multi-modal models (LMMs) for extractive and abstractive tasks to search for complex evidence statements in unstructured, multi-page documents images.
• Manage large-scale data annotation projects by guiding frontline agents to curate high-quality datasets, delivering model improvements by proposing, managing, and monitoring improvements to data collection processes.
• Work on a team of data scientists to build practical machine learning solutions through all phases of development, including designing, training, evaluating, and monitoring models.

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