Nanonets is hiring for Data Engineer | Bangalore

    Nanonets

    We are seeking a motivated and adaptable AI Data Engineer with a strong interest in data infrastructure. This role will play a crucial role in scaling data sets that we use for training our AI models. The ideal candidate will be passionate about building robust and efficient data pipelines, ensuring data quality, and contributing to the advancement of our AI capabilities.

    15-25 LPA
    Bengaluru
    Full Time
    August 30, 2025 at 04:01 PM
    Nanonets is hiring for Data Engineer | Bangalore at Nanonets - Job Image
    Basic Qualifications
    • B.E/B.Tech from a reputed school.
    • 0-3 years of experience.
    • Strong hands-on experience in Python
    • Good written and verbal communication skills.
    • Strong interpersonal skills, with the ability to build rapport.
    Key Responsibilities
    • A] Large scale data collection (in millions) by -
    • a. Either web scraping existing open datasets.
    • b. Or Nanonets internal dataset using our apis.
    • B] Dataset filtering, cleaning and validation -
    • a. Using foundational models or rule based methods to filter out dataset.
    • b. Working on data visualisation tools like streamlit/gradio.
    • C] Run existing benchmarks on models.
    • D] Model migration: based on benchmark migrate models from older models to new models.
    • E] Coordinate with annotators.
    Locations Available
    Bengaluru
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    Salary:15-25 LPA
    Job Type:Full Time
    Eligible Batches:2024, 2025
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    Job Details
    Posted:August 30, 2025 at 04:01 PM
    Company:Nanonets
    About the Company
    Nanonets logo - Technology

    Nanonets

    Technology

    Trusted by 35% of Fortune 500 companies, Nanonets is an AI-driven solution that automates document processing and data extraction workflows. Leveraging advanced Optical Character Recognition (OCR) and deep learning models, Nanonets helps companies automate document-heavy business processes like accounts payable, order processing, and insurance underwriting. Nanonets processes unstructured documents such as invoices, receipts, purchase orders, contracts, claims, and forms and converts them into structured output. By integrating with your existing systems via APIs, Nanonets can reduce manual effort by up to 90%, delivering industry-leading accuracy, speed, and cost savings of up to 50%. Nanonets scales from small to enterprise-grade document automation, providing an intuitive and highly customizable platform that streamlines business workflows. The world's leading companies and enterprises, such as Deloitte, EY, Roche, Sherwin Williams, Divvy, Asian Paints, Ascend, Reliance General Insurance, VFS Global, and CKE Restaurants, use Nanonets' platform to automate document processing.