Вакансия Senior AI Engineer

Skills

• Python
• BeautifulSoup4
• Scrapy
• NLP
• Rest API
• PostgreSQl
• Redis
• Docker
• Git
• Kubernetes

Описание вакансии

We are looking for a Senior AI Engineer to join our team in collaboration with an innovative American client. As a Senior AI Engineer, you’ll have the autonomy to shape the core technology powering next-generation news platforms, directly influencing how news is aggregated and understood at scale.
Ready for the next step in your AI career? We’d love to meet you!

This is you

• 5+ years of experience in Python back-end development;
• Proven experience in web scraping and data extraction with tools such as BeautifulSoup, Scrapy, or similar;
• Good knowledge of NLP techniques and deploying/using transformer-based on-prem models (e.g., Qwen, BERT);
• Experience applying AI/ML methods for content translation, clustering, and summarization;
• Strong understanding of REST APIs, asynchronous processing, and distributed systems;
• Comfortable using PostgreSQL, Redis, Docker, and Git.
• Experience with dockerizing solutions and deploying to on-premises infrastructure (Kubernetes clusters);
• English: Upper-intermediate or higher.

Nice-to-have skills:

• Experience working with multilingual datasets.

This is your role

• Design and develop scalable web scraping pipelines using BeautifulSoup, Requests, and/or Selenium;
• Implement content extraction and noise reduction logic for both structured and unstructured web data;
• Integrate AI components for: translation, content categorization, clustering of similar news items, summarization (with preference for Qwen 32B model);
• Build pipelines to de-duplicate and normalize multilingual news content;
• Collaborate with AI/ML engineers to optimize model inference performance and ensure efficient data flow;
• Design APIs and back-end infrastructure to deliver aggregated news content to end-users;
• Monitor and maintain scrapers, adapting to site structure changes and ensuring data quality and integrity;
• Write clean, maintainable, and testable code, actively contributing to a collaborative team environment.