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Senior Data Science Engineer Lead, VP @ Deutsche Bank

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 Senior Data Science Engineer Lead, VP

Job Description


 :  Job TitleSenior Data Science Engineer Lead LocationBangalore, IndiaRole Description
  • We are seeking a seasoned Data Science Engineer to spearhead the development of intelligent, autonomous AI systems.
  • The ideal candidate will have a robust background in agentic AI, LLMs, SLMs, Vector DB, and knowledge graphs.
  • This role involves designing and deploying AI solutions that leverage Retrieval-Augmented Generation (RAG), multi-agent frameworks, and hybrid search techniques to enhance enterprise applications.
    • Deutsche Banks Corporate Bank division is a leading provider of cash management, trade finance and securities finance. We complete green-field projects that deliver the best Corporate Bank - Securities Services products in the world. Our team is diverse, international, and driven by shared focus on clean code and valued delivery. At every level, agile minds are rewarded with competitive pay, support, and opportunities to excel. You will work as part of a cross-functional agile delivery team. You will bring an innovative approach to software development, focusing on using the latest technologies and practices, as part of a relentless focus on business value. You will be someone who sees engineering as team activity, with a predisposition to open code, open discussion and creating a supportive, collaborative environment. You will be ready to contribute to all stages of software delivery, from initial analysis right through to production support. What well offer you
  • 100% reimbursement under childcare assistance benefit (gender neutral)
  • Sponsorship for Industry relevant certifications and education
  • Accident and Term life Insurance
  • Your key responsibilities
  • Design & Develop Agentic AI ApplicationsUtilize frameworks like LangChain, CrewAI, and AutoGen to build autonomous agents capable of complex task execution.
  • Implement RAG PipelinesIntegrate LLMs with vector databases (e.g., Milvus, FAISS) and knowledge graphs (e.g., Neo4j) to create dynamic, context-aware retrieval systems.
  • Fine-Tune Language ModelsCustomize LLMs and SLMs using domain-specific data to improve performance and relevance in specialized applications. NER ModelsTrain OCR and NLP leveraged models to parse domain-specific details from documents (e.g., DocAI, Azure AI DIS, AWS IDP)
  • Develop Knowledge GraphsConstruct and manage knowledge graphs to represent and query complex relationships within data, enhancing AI interpretability and reasoning.
  • Collaborate Cross-FunctionallyWork with data engineers, ML researchers, and product teams to align AI solutions with business objectives and technical requirements.
  • Optimize AI WorkflowsEmploy MLOps practices to ensure scalable, maintainable, and efficient AI model deployment and monitoring
    • Your skills and experience
  • 15+ years of professional experience in AI/ML development, with a focus on agentic AI systems.
  • Proficient in Python, Python API frameworks, SQL and familiar with AI/ML frameworks such as TensorFlow or PyTorch.
  • Experience in deploying AI models on cloud platforms (e.g., GCP, AWS).
  • Experience with LLMs (e.g., GPT-4), SLMs, and prompt engineering.
  • Understanding of semantic technologies, ontologies, and RDF/SPARQL.
  • Familiarity with MLOps tools and practices for continuous integration and deployment.
  • Skilled in building and querying knowledge graphs using tools like Neo4j
  • Hands-on experience with vector databases and embedding techniques.
  • Familiarity with RAG architectures and hybrid search methodologies.
  • Experience in developing AI solutions for specific industries such as healthcare, finance, or ecommerce.
  • Strong problem-solving abilities and analytical thinking.
  • Excellent communication skills for crossfunctional collaboration.
  • Ability to work independently and manage multiple projects simultaneously
    • How well support you

  • Job Classification

    Industry: Investment Banking / Venture Capital / Private Equity
    Functional Area / Department: Data Science & Analytics
    Role Category: Data Science & Machine Learning
    Role: Head - Data Science
    Employement Type: Full time

    Contact Details:

    Company: Deutsche Bank
    Location(s): Bengaluru

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    Keyskills:   artificial intelligence sql tensorflow api python hibernate spring deep learning java data science gcp spark pytorch vector html big data ml rest natural language processing machine learning javascript spring boot neo4j rdf vp aws sparql db

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    Deutsche Bank

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