Data Science Engineer, Vp

Deutsche Bank UK

Bangalore, India
Hybrid
Agentic ai, llms, slms, vector db, knowledge graphs
Retrieval-augmented generation (rag)
Multi-agent frameworks
Spearhead the development of intelligent, autonomous AI systems leveraging agentic AI, LLMs, SLMs, vector DB, and knowledge graphs

Job Summary

  • Spearhead the development of intelligent, autonomous AI systems leveraging agentic AI, LLMs, SLMs, vector DB, and knowledge graphs.
  • Design and deploy AI solutions using RAG, multi-agent frameworks, and hybrid search techniques to enhance enterprise applications.
  • Deutsche Bank offers a flexible scheme with benefits including best-in-class leave policy, gender-neutral parental leaves, and comprehensive insurance.

Matching Summary

Spearhead the development of intelligent, autonomous AI systems leveraging agentic AI, LLMs, SLMs, vector DB, and knowledge graphs.

Skills & Requirements

Must-have

  • Agentic AI, LLMs, SLMs, vector DB, knowledge graphs
  • Retrieval-Augmented Generation (RAG)
  • Multi-agent frameworks
  • Hybrid search techniques
  • Python, Python API frameworks, SQL
  • TensorFlow or PyTorch
  • Cloud platforms (GCP, AWS)
  • Knowledge graphs (Neo4j)
  • Vector databases and embedding techniques

Nice-to-have

  • Domain-specific data fine-tuning
  • Cross-functional collaboration
  • MLOps practices
  • Problem-solving and analytical thinking
  • Continuous learning culture

Key Requirements

  • 13+ years of professional experience in AI/ML development
  • Experience deploying AI models on cloud platforms
  • Experience with LLMs and SLMs
  • Understanding of semantic technologies, ontologies, and RDF/SPARQL
  • Familiarity with MLOps tools and practices
  • Experience in developing AI solutions for specific industries

Work Rights

Not specified

Tailored Resume

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