About the role:
We are looking for a senior AI engineer 56 years of experience) to help us automate and improve our web scraping operations using AI. We mainly aim to reduce manual effort and improve efficiency across our scraping team, by building intelligent systems that can:
Extract data more autonomously.
Detect issues before they affect production.
Automatically adapt to website changes.
Improve code/data QA.
Reduce development and maintenance time.
Responsibilities:
Design, build, and deploy AI-powered automation and LLM-based workflows (chatbots, copilots) for real-world scraping issues to detect scraping failures and anomalies and identify data issues,
Fine-tune, evaluate and optimize AI models for performance and scalability.
Implement smart alerting systems to reduce noise and focus on real issues
Build AI-assisted tools to debug scraping issues and recommend fixes or generate updated logic to reduce manual maintenance effort for scraping pipelines
Collaborate with scraping team to translate scraping/business requirements into AI-driven solutions. Continuously monitor and improve performance, reliability, and cost efficiency of AI solutions in production environments.
Maintain documentation, testing procedures, and deployment workflows.
Requirements:
5- 6+ years of experience in AI/ML engineering or similar roles
Strong Python skills
Strong problem-solving skills to address complex challenges and performance bottlenecks.
Advanced knowledge in Machine Learning models and Large Language Models LLM, using Langchain or a similar tool.
Experience in implementing LLMs using vector databases and Retrieval Augmented Generation RAG, as well as tuning models. Using GPTs, Llama, or any other LLM
Experience building production-ready systems, not just prototypes and providing support to them.
Hands-on experience with containerization Docker, ideally Kubernetes) and CI/CD workflows.
Experience in developing and using APIs can be useful for integrating models into existing applications. Experience with cloud environments GCP, Azure or AWS
Familiarity with web scraping tools Scrapy, Playwright, Selenium) and data pipelines and distributed systems is a strong plus as well as understanding of security best practices for extracting data..
Excellent technical communication skills to collaborate effectively across teams and explain technical concepts to non-technical stakeholders
Our Benefits
- Flexible working environment
- Volunteer time off
- LinkedIn Learning
- Employee-Assistance-Program (EAP)
NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ?
