Python Developer LLM

Role & responsibilities

• Design, develop, and maintain scalable web applications using Python (Django or Flask).
• Build and optimize complex database queries and schemas in MySQL and PostgreSQL.
• Conduct

  time series analysis

  and implement

  forecasting models

  , incorporating

  seasonality

  ,

  outlier detection

  , and

  LLMs

  when required.
• Apply AI/ML techniques for

  image comparison

  ,

  OCR

  , and

  product categorization

  .
• Develop robust web scraping solutions using different methodologies (e.g., BeautifulSoup, Scrapy, Selenium, API-based extraction).
• Collaborate with cross-functional teams including data engineers, data scientists, and product managers to integrate solutions into production.
• Write clean, modular, and well-documented code; ensure best practices for performance, scalability, and security.
• Participate in code reviews, architecture discussions, and deployment processes.
• Work in flexible shifts and be available during weekends for critical releases or deployment activities.

Preferred candidate profile

• 25 years of experience

  in Python development.
• Strong hands-on experience with

  Django

  or

  Flask

  frameworks.
• Proficiency in relational databases:

  MySQL

  and

  PostgreSQL

  .
• Solid understanding and practical experience in

  time series forecasting

  , including LLM-based solutions,

  seasonality

  , and

  outlier management

  .
• Good exposure to

  AI/ML concepts

  and implementation, especially in:

• Image processing / comparison

• Product categorization

• OCR (Optical Character Recognition)

• Expertise in

  web scraping

  techniques (e.g., Scrapy, BeautifulSoup, Selenium, API integrations).
• Familiarity with cloud platforms and deployment environments is a plus.
• Ability to work in a

  high-pressure environment

  and deliver results within tight timelines.
• Willingness to

  work across different time zones

  and be

  available during weekends

  if necessary.