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Senior Applied AI Scientist (AI/DS)

20 minutes ago
Europe, Bulgaria, Poland, Romania
Senior
AI Research Scientist
Data Science and Analytics
Agile AWS Databricks Elasticsearch Hugging Face Kubernetes Machine Learning OpenSearch Python PyTorch Scala Scikit-learn SEO Snowflake TensorFlow
Apply Now
Xebia

Xebia

Xebia is a pioneering IT consultancy company specializing in Continuous Delivery, DevOps, Agile Consulting, and Digital Transformation Services, creating digital leaders through innovative solutions.

Internet Software & Services
1K-5K
Founded 2008
View All Jobs 18

Description

  • Develop AI-powered solutions to improve the organic discoverability of vehicle inventory.
  • Build scalable AI-driven systems for vehicle descriptions, model content, and SEO/GEO landing pages.
  • Develop search intent clustering models for automotive search queries.
  • Identify and predict high-potential combinations of brands, models, locations, and vehicle inventory.
  • Design and optimize ranking signals to improve search visibility and organic traffic growth.
  • Collaborate with Product Managers, Product Analysts, and Engineers to identify and prioritize growth opportunities.
  • Measure and evaluate the impact of AI-driven SEO initiatives through experimentation and data analysis.
  • Work with engineering teams to deploy, monitor, and maintain production-grade AI solutions.
  • Support the evolution of content and search strategies across traditional SEO and Generative Engine Optimization channels.

Requirements

  • 5+ years of experience in Data Science, Machine Learning, Applied AI, or related roles.
  • Strong practical experience with NLP, LLMs, or content generation systems.
  • Experience developing and deploying machine learning solutions in production environments.
  • Proficiency in Python and modern ML frameworks such as PyTorch, TensorFlow, Scikit-learn, or Hugging Face.
  • Experience working with large datasets and experimentation methodologies.
  • Experience with SEO, search ranking, recommendation systems, or information retrieval.
  • Experience with content optimization and large-scale content generation.
  • Familiarity with AWS-based environments.
  • Experience working with Kubernetes and cloud-native architectures.
  • Background in marketplace, classifieds, e-commerce, or consumer internet platforms.
  • Experience measuring business impact through A/B testing and experimentation.
  • Strong understanding of statistical analysis and hypothesis testing.
  • Experience collaborating with engineering and product teams in agile environments.
  • Ability to communicate complex technical concepts to non-technical stakeholders.
  • Fluent English.
  • Work from the European Union region and a valid work permit are required.
  • Automotive industry experience is a plus.
  • Familiarity with Generative Engine Optimization (GEO) concepts is a plus.
  • Experience with Scala-based ecosystems is a plus.
  • Knowledge of search technologies such as Elasticsearch or OpenSearch is a plus.

Interested in this position?

Apply directly on the company website

Apply Now

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