Python Developer with Advanced SQL & LLM

1 - 4 years

10 - 12 Lacs

Posted:1 week ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

We are seeking a highly motivated Python Developer with a strong background in data analysis, LLM, and web development using Django/flask. The ideal candidate should be proficient in Python, Django/Flask, and SQL, with the ability to develop and deploy Projects on Time.

Responsibilities:

  • LLM

  • Should be able to understand and utilize various LLM, repurpose the existing ones.
  • Apply statistical methods to interpret and communicate findings effectively.
  • Data Analysis & Manipulation:

  • Utilize Python for data manipulation and analysis using libraries such as pandas, NumPy, and scikit-learn.
  • Perform complex SQL queries to extract and manipulate data from relational databases.
  • Web Development (Django/Flask):

  • Design, develop, and maintain web applications using Django/Flask.
  • Integrate data analysis features into web applications for seamless user interaction.
  • Ensure code quality and maintainability by following best practices in Django development.
  • Statistical Analysis:

  • Apply statistical techniques to derive actionable insights from data.
  • Conduct hypothesis testing, regression analysis, and other statistical methods to support business decisions.

Experience Requirements:

  • 2+ years of experience in data analysis.
  • Strong knowledge of various LLM and its implementations.
  • Proficiency in Python, including data manipulation libraries (e.g., pandas, NumPy, scikit-learn).
  • Strong experience with Django for web development.
  • Strong experience with SQL, including the ability to write and optimize complex queries.
  • Solid understanding of statistical methods and their applications.
  • Familiarity with other data analysis and machine learning techniques.

Skills:

  • Strong analytical and problem-solving skills.
  • Excellent communication and teamwork abilities.
  • Ability to work independently and manage multiple tasks effectively.

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