Chief Data Intelligence Specialist

1 day ago

Ghaziabad, Uttar Pradesh, India beBeeArtificialIntelligence Full time ₹ 15,00,000 - ₹ 20,00,000
Job Overview

Our team is seeking an experienced AI/ML Engineer with a strong background in designing, developing and deploying large-scale intelligent systems.

Key Responsibilities:

  • Design and deploy AI/LLM-enabled applications that are modular, scalable and maintainable.
  • Develop and fine-tune RAG pipelines for various enterprise or product-based use cases, focusing on retrieval relevance and accuracy.
  • Work with unstructured data sources — documents, transcripts, APIs — to transform them into structured knowledge systems using embeddings, vector stores and knowledge graphs.
  • Evaluate and select GenAI tools, frameworks and models that balance performance, latency, cost and data security.
  • Monitor application behavior and refine prompts, retrieval logic and context engineering to enhance response quality.
  • Identify and communicate system edge cases and risks — including hallucination, bias, prompt injection and model over-reliance.
  • Stay current with cutting-edge AI research, frameworks and methodologies, assessing their potential for production use.
  • Collaborate with cross-functional teams to integrate intelligent features seamlessly.
Required Skills & Experience
  • 3–4 years of hands-on experience in AI/ML, data engineering or full-stack development with a strong foundation in intelligent system design.
  • Deep understanding of Large Language Models (LLMs) — including concepts like embeddings, context windows, transformers, token limits and memory strategies.
  • Proven experience implementing RAG pipelines and working with vector databases and Knowledge Graphs.
  • Familiarity with GenAI frameworks and orchestration tools such as LangChain, LlamaIndex or similar.
  • Proficiency in Python and experience developing backend logic and integrating with APIs.
  • Awareness of ethical and security concerns in AI — including safety, fairness and responsible deployment.
Benefits
  • Competitive compensation package
  • Opportunities for learning, research and career growth in cutting-edge AI technologies
  • Collaborative, transparent and inclusive work environment
Skills
  • Generative AI (GenAI)
  • RAG pipelines
  • Python
  • API integration
  • AI/LM

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