Senior Applied AI Scientist (AI)

TL;DR

Senior Applied AI Scientist (AI): Developing AI-powered solutions for vehicle inventory discoverability and content generation with an accent on NLP, LLMs, and search ranking optimization. Focus on building scalable models for SEO/GEO landing pages, search intent clustering, and deploying production-grade AI solutions.

Location: Must be based in the European Union (Bulgaria, Poland, or Romania) and possess a valid work permit

Company

Global AI-first digital transformation and engineering partner specializing in scalable products, platforms, and data-driven solutions.

What you will do

• Develop AI solutions to improve the organic discoverability of vehicle inventory.
• Build scalable AI-driven systems for generating vehicle descriptions and SEO/GEO landing pages.
• Design and optimize ranking signals and search intent clustering models to drive organic traffic growth.
• Collaborate with Product Managers and Engineers to identify and prioritize growth opportunities.
• Deploy, monitor, and maintain production-grade AI solutions in cloud environments.
• Measure the impact of AI-driven SEO initiatives through experimentation and data analysis.

Requirements

• 5+ years of experience in Data Science, Machine Learning, or Applied AI.
• Practical experience with NLP, LLMs, or content generation systems.
• Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, Scikit-learn, and Hugging Face.
• Experience deploying ML solutions in production using AWS and Kubernetes.
• Background in marketplaces, classifieds, e-commerce, or consumer internet platforms.
• Fluent English proficiency required.

Nice to have

• Automotive industry experience.
• Familiarity with Generative Engine Optimization (GEO) concepts.
• Experience with Scala-based ecosystems.
• Knowledge of search technologies like Elasticsearch or OpenSearch.

Culture & Benefits

• People-first culture with a strong focus on engineering excellence.
• Consulting mindset with a continuous emphasis on growth and knowledge sharing.
• Opportunity to work with leading global clients such as Spotify, Disney, and McLaren.

Hiring process

• CV review and HR screening call.
• Technical interview.
• Client interview.
• Final decision.