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    Data Scientist - Gurugram, India - TartanHQ

    TartanHQ
    TartanHQ Gurugram, India

    1 day ago

    Default job background
    Description

    Requirements :

    a) Proven experience as a Data Scientist with a focus on AI and machine learning applications.

    b) Expertise in developing models using Language Models (LLM) for natural language processing tasks.

    c) Strong background in data analytics, statistical analysis, and machine learning concepts.

    d) Proficient in writing complex SQL queries for data extraction and analysis.

    e) Excellent problem-solving skills and the ability to think creatively to overcome challenges.

    f) Strong communication skills to effectively convey technical concepts to both technical and non-technical stakeholders.

    g) Ability to work collaboratively in a team environment and take complete ownership of the product.

    Key responsibilities :


    Payslip Data Extraction :


    a) Design, develop, and implement advanced models using cutting-edge AI technologies, with a primary focus on Language Models (LLM), to extract relevant information from payslips.

    b) Collaborate with cross-functional teams to understand product requirements, define objectives, and deliver robust solutions for efficient payslip data extraction.


    Fraud Detection :
    a) Build and deploy models for detecting fraudulent patterns and anomalies within payslip data.

    b) Utilize machine learning techniques to enhance fraud detection algorithms, ensuring accuracy and adaptability to evolving patterns.


    AI Technology Integration :
    a) Stay updated on the latest advancements in AI and machine learning and apply state-of-the-art techniques, such as LLM, to continually improve model's outcomes.

    b) Work closely with the technology team to integrate AI models into the existing infrastructure, ensuring seamless functionality.


    Data Analytics :
    a) Conduct thorough data analysis to identify trends, patterns, and insights that contribute to the refinement of payslip data extraction and fraud detection models.

    b) Provide actionable recommendations based on data insights to enhance overall performance.


    SQL Expertise :
    a) Write and optimize SQL queries to efficiently retrieve, manipulate, and analyse large datasets relevant to payslip information and fraud detection
    )
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