MediaRadar, Inc.
MediaRadar, Inc.
201 – 500 कर्मचारी
SaaSविज्ञापनविपणन
MediaRadar, Inc. एक मार्केटिंग और विज्ञापन SaaS कंपनी है, जो मीडिया विक्रेताओं, विज्ञापनदाताओं और एजेंसियों के लिए विज्ञापन संबंधी जानकारी के उपकरण विकसित करती है। इसका प्लेटफ़ॉर्म 40 लाख से अधिक ब्रांडों और उनसे जुड़े संपर्कों का डेटा एक साथ लाता है, जिससे टीमें संभावित ग्राहकों की पहचान कर सकती हैं, विज्ञापन गतिविधियों का आकलन कर सकती हैं, मीडिया निवेश की योजना बना सकती हैं, खरीद संबंधी निर्णयों में सहायता ले सकती हैं और बिक्री को अधिक प्रभावी बना सकती हैं। MediaRadar विज्ञापन डेटा को व्यावहारिक अंतर्दृष्टियों में बदलने के लिए AI-आधारित विश्लेषण का उपयोग करती है, जिससे विज्ञापन तकनीक के पूरे पारिस्थितिकी तंत्र में मीडिया मिश्रण की योजना और आय-केंद्रित निर्णय लेने में सहायता मिलती है।

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.

विवरण

  • 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

आवश्यकताएँ

  • 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

लाभ

  • Inclusive and accessible workplace
  • Equal Opportunity Employer
  • Reasonable accommodations available during the application and interview process

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