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Data Scientist – LLM Systems & Video Ads
Data Scientist – LLM Systems & Video AdsBLKBOX.ai • hosur, tamil nadu, in
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Data Scientist – LLM Systems & Video Ads

Data Scientist – LLM Systems & Video Ads

BLKBOX.ai • hosur, tamil nadu, in
4 days ago
Job description

Location : Remote

Team : Applied AI / Data Science

Role Overview

As a Data Scientist at blkbox.ai, you will architect, implement, and scale data-driven and LLM-based systems that generate high-performing mobile gaming ads at production level. This role blends data science, multimodal AI, generative models, and LLM automation—focusing on retrieval pipelines, embedding-based similarity search, and production-grade model operations.

You will design and deploy end-to-end LLM workflows—from prompt design and model orchestration to RAG pipelines and vector database integration—enabling automated ad creation.

Key Responsibilities LLM System Design, Data Intelligence & Workflow Engineering

  • Architect LLM-powered workflows for narrative generation, scripting, voiceovers, storylines, and other ad concepts
  • Build data-driven logic and model selection strategies informed by creative performance and mobile gaming outcomes
  • Run structured data analysis using Python and SQL to identify creative attributes correlated with winning ad performance
  • Integrate multimodal data sources into creative intelligence pipelines

LLM, RAG & Vector Retrieval

  • Use LLM APIs such as OpenAI GPT and Google Gemini for scripted and generative workflows
  • Build retrieval-augmented generation (RAG) pipelines for :
  • story / voiceover generation
  • gameplay retrieval
  • creative asset selection
  • Work with modern embedding models (OpenAI, sentence-transformers, etc.)
  • Implement vector search via Pinecone, Weaviate, Chroma or FAISS
  • Experiment with prompt engineering, prompt templates, function calling, and structured prompting
  • Production AI, Monitoring & Optimization

  • Collaborate with backend engineers to integrate LLM components into production pipelines
  • Monitor and optimize LLM workflows for :
  • latency
  • token usage and cost
  • throughput
  • failure rates
  • hallucinations
  • Evaluate multiple LLMs and embeddings for performance, relevance, and cost efficiency
  • Implement reproducible workflows, model evaluation systems, and reliability checks at scale
  • Cross-Functional Collaboration

  • Partner with production and creative teams to translate creative requirements into systematic generative pipelines
  • Present technical recommendations clearly to product, engineering, and creative stakeholders
  • Own experiments end-to-end including benchmarking, metrics, prototype automation, and deployment
  • Required Skills & Qualifications Technical

  • Strong proficiency in Python and SQL
  • Hands-on experience with LLMs, RAG concepts, embeddings, and vector search
  • Experience calling model APIs (OpenAI, Gemini, etc.)
  • Familiarity with LangChain, LlamaIndex or similar frameworks is a plus
  • Strong understanding of :
  • LLM evaluation frameworks
  • prompt engineering patterns
  • latency and cost optimization
  • model hallucination control
  • Solid foundation in statistics, experimentation, and ML deployment workflows
  • Soft Skills & Behaviors

  • Ability to communicate complex technical concepts to non-technical partners
  • Curious, inventive, and motivated by experimentation and rapid iteration
  • Adaptability in fast-moving production environments
  • Strong ownership mindset and comfort working cross-functionally
  • Why This Role Is Unique

  • You’ll be building real production LLM systems—not just prototypes
  • You’ll work across creative, multimodal, and generative domains
  • You’ll influence automated ad production for some of the largest mobile gaming companies in the world
  • Create a job alert for this search

    Data Scientist • hosur, tamil nadu, in

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