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Data Science Engineer

Posted 14 days agoViewed

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💎 Seniority level: Senior, 8+ years

🔍 Industry: Software Development

🗣️ Languages: English

⏳ Experience: 8+ years

Requirements:
  • 8+ years of experience in engineering, machine learning & LLMs
  • 4+ years of hands-on experience in building & deploying AI/ML/Gen AI solutions in large business critical applications
  • 2+ years of experience in developing Gen AI products using variety of LLMs & frameworks
  • Advanced proficiency in Python for data science, engineering & LLMs
  • Experience with leveraging, training and fine-tuning Foundation Models including multimodal inputs and outputs
  • Strong experience working with key LLM models APIs (e.g. OpenAI, Anthropic) and LLM Frameworks (e.g. LangChain, LlamaIndex)
  • Proficiency in generating and working with embeddings across variety of data formats
  • Expertise with RAG concepts and fundamentals (vectorDBs, semanticsearch, re-rankers etc)
  • Experience with multi-agent frameworks/systems
  • Experience in working with variety of data bases (SQL, no SQL), APIs & microservices development
  • Experience with LLMOps tools (e.g. Langsmith) to implement guardrails, track accuracy, hallucinations, bias and other metrics in Gen AI products
  • Experience in constructing and querying knowledge graphs including graph-based reasoning
Responsibilities:
  • Building & deploying AI/ML/Gen AI solutions in large business critical applications.
  • Developing Gen AI products using variety of LLMs & frameworks.
  • Working with large structured & unstructured datasets and deploy AI/ML/Gen AI solutions through automated pipelines.
  • Leveraging, training and fine-tuning Foundation Models including multimodal inputs and outputs.
  • Working with key LLM models APIs (e.g. OpenAI, Anthropic) and LLM Frameworks (e.g. LangChain, LlamaIndex).
  • Generating and working with embeddings across variety of data formats.
  • Implementing RAG systems that combine knowledge bases.
  • Working with variety of data bases (SQL, no SQL), APIs & microservices development.
  • Implementing guardrails, track accuracy, hallucinations, bias and other metrics in Gen AI products using LLMOps tools (e.g. Langsmith).
  • Constructing and querying knowledge graphs including graph-based reasoning.
  • Experience in multi-agent frameworks/systems and an understanding of multi-agent systems and their applications in complex problem-solving scenarios.
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