AI Enabled Data Scraping Engineer - Mid Level

About Comapny

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AIMLEAP is an ISO 9001:2015 and ISO/IEC 27001:2013 certified global technology consulting and service provider offering Digital IT, AI-augmented Data Solutions, Automation, and Research & Analytics Services.
AIMLEAP has been recognized as ‘The Great Place to Work®’. With focus on AI and automation-first approach, our services include end-to-end IT application management, Mobile App Development, Data Management, Data Mining Services, Web Data Scraping, Self-serving BI reporting solutions, Digital Marketing, and Analytics solutions.
We started in 2012 and successfully delivered projects in IT & digital transformation, automation driven data solutions, and digital marketing for more than 750 fast-growing companies in the USA, Europe, New Zealand, Australia, Canada; and more.
– An ISO 9001:2015 and ISO/IEC 27001:2013 certified
– Served 750+ customers
– 12+ Years of industry experience
– 98% Client Retention
– Great Place to Work® Certified
– Global Delivery Centers in the USA, Canada, India & Australia.

We Are Looking For

• 2 – 4 years of experience in Python-based web scraping, browser automation, and large-scale data extraction projects. 
• Strong hands-on experience with Scrapy, Selenium, Playwright, Requests, BeautifulSoup, or similar scraping frameworks. 
• Experience handling dynamic websites, login sessions, cookies, CAPTCHA handling, proxy rotation, browser fingerprinting, and anti-bot protections. 
• Working knowledge of AI/LLM-powered automation workflows using OpenAI APIs, ChatGPT, Claude, Gemini, LangChain, or similar tools. 
• Experience working with APIs, JSON/XML data handling, databases, cloud platforms, and automation scripting using Python. 
• Familiarity with Docker, Linux, Git, scheduling tools, and scalable scraping architectures. 
• Good understanding of data cleaning, transformation, validation, monitoring, and structured/unstructured data processing workflows. 

Responsibilities:

• Develop, maintain, and optimize scalable web scraping and browser automation pipelines for structured and unstructured web data extraction. 
• Build advanced scraping workflows using Scrapy, Selenium, Playwright, APIs, and Python automation frameworks. 
• Handle dynamic websites, anti-bot protections, login sessions, proxies, cookies, and browser automation challenges efficiently. 
• Work on AI-powered data extraction, enrichment, classification, and automation workflows using LLMs and AI tools. 
• Perform data cleaning, validation, transformation, storage, and monitoring for analytics and AI applications. 
• Collaborate with senior engineers, AI teams, product teams, and clients for scalable data acquisition projects. 
• Monitor crawler performance, debug failures, improve scraping efficiency, and maintain data quality standards. 

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, IT, or related field.
• Strong proficiency in Python programming and scraping frameworks such as Scrapy, Selenium, Playwright, or BeautifulSoup.
• Good understanding of APIs, automation workflows, databases, JSON/XML handling, cloud concepts, and scalable scraping techniques.
• Experience with AI tools, LLM APIs, browser automation, and modern scraping workflows is preferred.
• Familiarity with Docker, Linux, Git, AWS, or cloud-based deployment environments is an added advantage.
• Strong analytical, debugging, and problem-solving skills with the ability to work in fast-paced environments.