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Lead Aiml Engineer Nlp & Generative Ai @ Siemens

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 Lead Aiml Engineer Nlp & Generative Ai

Job Description

 Dear Aspirant!   We empower our people to stay resilient and relevant in a constantly changing world. We're looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like you? Then it seems like you'd make a great addition to our vibrant international team.  We are looking for   Lead Software Engineer (AIML Engineer " NLP & Generative AI)   ,      You'll make an impact by 
  • Architect and lead the development of NLP and Generative AI solutions, including LLM
  • integration, RAG pipelines, and multi-agent frameworks.
  • Design and optimize retrieval systems using knowledge graphs and vector databases,
  • improving contextual accuracy and semantic relevance in RAG workflows.
  • Apply advanced techniques (e.g., document chunking strategies, rerankers, hybrid retrieval, query rewriting, feedback loops) to enhance RAG chain precision and reduce hallucinations.
  • Collaborate with ontology/domain experts to integrate structured knowledge bases and
  • semantic relationships into the solution stack.
  • Leverage modern frameworks like Lang Graph, Lang Chain, Llama Index, Smol Agents, and others for orchestrating agent-based and tool-augmented pipelines.
  • Incorporate AWS Bedrock, Sagemaker, Azure ML Studio, Azure OpenAI Service, and Azure AI Foundry for cloud-native scalability and operational efficiency.
  • Ensure high observability and maintainability of AI solutions through robust MLOps practices, logging, and model monitoring.
  • Lead code/design reviews, mentor team members, and help shape long-term AI strategy and technical roadmaps.
  • Collaborate with product, cloud, software, and data engineering teams to deploy impactful AI capabilities in real-world settings.

    •  Use your skills to move the world forward!  
  • Bachelor's or Master's degree in Computer Science, Machine Learning, AI, or a related field.
  • 7+ years of AI/ML experience, with 3"4 years in NLP, and 2+ years in Generative AI
  • applications.
  • Expertise in designing production-grade RAG systems, including single-agent and multi-agent architectures.
  • Solid understanding of LLM internals, prompt engineering, fine-tuning (LoRA, PEFT), and use of open-source and hosted foundation models.
  • Experience with Knowledge Graphs, graph databases (e.g., Neo4j), and semantic enrichment strategies.
  • Proficiency in Python and hands-on experience with frameworks like LangGraph, LlamaIndex, Transformers, and SmolAgents.
  • Knowledge of vector databases (e.g., Azure AI Search, FAISS, Weaviate, Pinecone) and search optimization techniques.
  • Familiarity with model observability tools, evaluation frameworks, and performance diagnostics.
  • Strong experience with AWS and/or Azure managed services for AI development.
  • Experience incorporating ontologies, taxonomies, and domain-specific schemas in knowledge enhanced AI systems.
  • Prior exposure to industrial AI or Electrification/Power sector challenges is a strong plus.
  • Knowledge of hybrid retrieval techniques combining symbolic and statistical methods.
  • Strong stakeholder engagement and mentoring capabilities.
  • Familiarity with compliance, safety, and ethical considerations in LLM deployments.

    •  Create a better #TomorrowWithUs!   This role is based in Bangalore, where you'll get the chance to work with teams impacting entire cities, countries - and the shape of things to come. We're Siemens. A collection of over 312,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and imagination and help us shape tomorrow.  Find out more about Siemens careers at www.siemens.com/careers  
     Find out more about the Digital world of Siemens here   www.siemens.com/careers/digitalminds    

    Job Classification

    Industry: IT Services & Consulting
    Functional Area / Department: Engineering - Software & QA,
    Role Category: Quality Assurance and Testing
    Role: Blockchain Quality Assurance Engineer
    Employement Type: Full time

    Contact Details:

    Company: Siemens
    Location(s): Bengaluru

    + View Contact

    Keyskills:   python production microsoft azure stakeholder engagement aws natural language processing electrical engineering aiml power sector machine learning artificial intelligence electricals neo4j electrical maintenance installation electricians ml

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    Siemens

    Siemens Limited Siemens Information Systems Ltd. (SISL) was incorporated in 1992. It has grown on to become a leading system integrator and total solution provider to a host of Global Clientele and its business has grown over 100% in the last three years through consistently delivering higher va...

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