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Zolvit (formerly Vakilsearch)
Zolvit (formerly Vakilsearch) cover picture
Zolvit (formerly Vakilsearch) logo

Zolvit (formerly Vakilsearch)

https://vakilsearch.com
Founded :
2012
Type :
Products & Services
Size :
100-1000
Stage :
Profitable
About

India's Largest Online Platform For Legal, Tax and Compliance Services. - https://t.co/f4giVXnWD7


About Vakilsearch


Vakilsearch is India's largest online legal, tax and compliance provider. Vakilsearch, through its products and end-to-end workflow automation journey has revolutionized how Start-ups/ Small & Medium Enterprises register, seamlessly run and comply with Government regulations. On our mission to provide one-click access to individuals and businesses for all their legal and professional needs, we have helped over 4 Lac start-ups/ small and medium enterprises to date.


Visit us on www.vakilsearch.com

Vakilsearch in recent news: https://economictimes.indiatimes.com/tech/funding/incorp-india-invests-10-million-in-vakilsearch/articleshow/87352272.cms


Vakilsearch is a people-first organisation that thrives on the enthusiasm of our team to execute our mission to the satisfaction of our customers. Towards this end, we stress on creating an optimal work-life balance and inculcating a strong sense of team spirit that stems from enthusiasm and good vibes. When you work at Vakilsearch, you don't just become an employee, you become family, and we always coalesce around each other to ensure a strong sense of family.

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Zolvit (formerly Vakilsearch)'s video section
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Lakshmi J
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Rajkumar Ganapathy
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Jobs at Zolvit (formerly Vakilsearch)

Zolvit (formerly Vakilsearch)
at Zolvit (formerly Vakilsearch)
1 video
2 recruiters
Lakshmi J
Posted by Lakshmi J
Chennai, Bengaluru (Bangalore)
4 - 7 yrs
₹15L - ₹30L / yr
Natural Language Processing (NLP)
Generative AI
Large Language Models (LLM)
skill iconMachine Learning (ML)
skill iconData Science
+3 more

Role Overview:

We are looking for a skilled Data Scientist with expertise in data analytics, machine learning, and AI to join our team. The ideal candidate will have a strong command of data tools, programming, and knowledge of LLMs and Generative AI, contributing to the growth and automation of our business processes.


Key Responsibilities:

  1. Data Analysis & Visualization:
  • Develop and manage data pipelines, ensuring data accuracy and integrity.
  • Design and implement insightful dashboards using Power BI to help stakeholders make data-driven decisions.
  • Extract and analyze complex data sets using SQL to generate actionable insights


2 Machine Learning & AI Models:

  • Build and deploy machine learning models to optimize key business functions like discount management, lead qualification, and process automation.
  • Apply Natural Language Processing (NLP) techniques for text extraction, analysis, and classification from customer documents.
  • Implement and fine-tune Generative AI models and large language models (LLMs) for various business applications, including prompt engineering for automation tasks.


3 Automation & Innovation:

  • Use AI to streamline document verification, data extraction, and customer interaction processes.
  • Innovate and automate manual processes, creating AI-driven solutions for internal teams and customer-facing systems.
  • Stay abreast of the latest advancements in machine learning, NLP, and generative AI, applying them to real-world business challenges.


Qualifications:

  • Bachelor's or Master’s degree in Computer Science, Data Science, Statistics, or related field.
  • 4-7 years of experience as a Data Scientist, with proficiency in Python, SQL, Power BI, and Excel.
  • Expertise in building machine learning models and utilizing NLP techniques for text processing and automation.
  • Experience in working with large language models (LLMs) and generative AI to create efficient and scalable solutions.
  • Strong problem-solving skills, with the ability to work independently and in teams.
  • Excellent communication skills, with the ability to present complex data in a simple, actionable way to non-technical stakeholders.



If you’re excited about leveraging data and AI to solve real-world problems, we’d love to have you on our team!



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