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Machine Learning Engineer

N71.ai
Dubai, UAE
Full Time
Mid
1 months ago
PythonInformation RetrievalRAGSemantic SearchVector DatabasesEmbedding Models
Free

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PythonInformation RetrievalRAG
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About N71

  • N71 is an AI intelligence platform that connects company data into a unified knowledge graph for proactive insights.
  • We are a small, high conviction team building something new; this role owns retrieval and ranking.

The Role

  • You will own the retrieval and ranking layer of N71's intelligence stack.
  • Build and improve pipelines that return the most relevant, timely, and accurate information from company data.

What You'll Work On

  • Design and build hybrid retrieval pipelines combining dense vector search, sparse keyword retrieval, and graph traversal.
  • Fine tune and evaluate embedding models for domain specific enterprise content (emails, CRM records, documents, Slack threads).
  • Build ranking and re ranking systems that account for recency, relevance, source reliability, and user context.
  • Create evaluation frameworks to measure retrieval quality systematically.
  • Optimize latency and cost across retrieval at scale.
  • Collaborate with product team to translate retrieval improvements into user facing features.

What We're Looking For

  • 3+ years of hands on experience building retrieval systems in production (RAG, semantic search, or recommendation systems).
  • Strong fundamentals in information retrieval: know why BM25 still matters and when dense retrieval falls short.
  • Experience with vector databases (Pinecone, Weaviate, Qdrant, or similar) and embedding model evaluation.
  • Comfort working with graph structured data is a strong plus.
  • Engineering mindset: clean, testable code; care about reliability and performance.
  • Low ego, high ownership; comfortable working in ambiguity.

Bonus Points

  • Experience building retrieval systems over multi modal or heterogeneous enterprise data.
  • Familiarity with knowledge graph representations and how they complement vector retrieval.
  • Prior work at an early stage startup or in a zero to one product environment.

What We Offer

  • Direct access to founders and real influence over product direction.
  • Focused, technically ambitious team with no bureaucracy.
  • Competitive salary benchmarked to MENA market rates.
  • Equity at an early stage.

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