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MediaRadar, Inc. yra rinkodaros ir reklamos SaaS įmonė, kurianti reklamos žvalgybos įrankius žiniasklaidos pardavėjams, reklamuotojams ir agentūroms. Jos platforma sujungia duomenis apie daugiau kaip 4 mln. prekių ženklų ir susijusius kontaktinius asmenis, padėdama komandoms nustatyti potencialius klientus, įvertinti reklamos aktyvumą, planuoti investicijas į žiniasklaidą, priimti pirkimo sprendimus ir stiprinti pardavimų palaikymą. MediaRadar taiko dirbtiniu intelektu pagrįstą analizę, kad reklamos duomenis paverstų praktinėmis įžvalgomis, skirtomis medijos deriniui planuoti ir į pajamas orientuotiems sprendimams priimti visoje reklamos technologijų ekosistemoje.
AI Engineer – Madrid Hybrid
Build scalable machine learning, retrieval-augmented generation, and multi-agent systems for MediaRadar’s advertising intelligence platform. Develop attribution models, vector search capabilities, and observable AI workflows.
Aprašymas
- Independently design and deliver scalable machine learning solutions
- Develop and refine classification and attribution systems for complex datasets, including ad creatives and global brand deduplication
- Apply chain-of-thought prompting techniques and build multi-agent workflows
- Improve vectorization performance and handle database migrations with Alembic
- Maintain high-throughput data ingestion pipelines with limited supervision
- Add guardrails and Langfuse observability to support explainable, reliable AI outputs
- Use AI coding tools and large language models to improve engineering productivity
Reikalavimai
- A strong degree in Computer Science or Telecommunications
- Expertise in clean code, software architecture, and scalable system design
- Active hackathon participation or a portfolio of ambitious personal projects
- Ability to work effectively in international roles with limited supervision and without constant lead support
- Advanced Python skills, including typing, asynchronous programming, and performance optimization
- Deep knowledge of SQL and vector databases, including pg_trgm and HNSW
- Experience building and deploying RAG pipelines and LLM agents
- Knowledge of vision-based machine learning, window-context detection, and scaling multi-agent systems
Privalumai
- Inclusive and accessible workplace
- Equal Opportunity Employer
- Reasonable accommodations available during the application and interview process
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