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    Home/Jobs/Senior AI/ML Engineer – Generative AI & NLP

    Senior AI/ML Engineer – Generative AI & NLP

    Siemens Technology And Services Private Limited

    Bengaluru
    5+ years
    Today
    ₹23–44 LPA
    Full-time
    Onsite

    Skills Required

    LangChain
    Transformers
    Hugging Face
    LlamaIndex
    LLM
    Gen AI
    Azure OpenAI Service
    Python
    NLP
    Machine Learning
    AI
    TruEra
    Arize
    AWS Sagemaker
    AWS Bedrock

    Description

    We are looking for a Senior AI/ML Engineer – Generative AI & NLP to join our vibrant international team. The ideal candidate will make an impact by designing, developing, and optimizing NLP-driven AI solutions using state-of-the-art models and techniques.

    Company: Siemens Technology and Services Private Limited

    Role: Senior AI/ML Engineer – Generative AI & NLP

    Location: Bangalore - Karnataka - India

    Experience:

    • 5+ years of overall experience in AI/ML
    • 2+ years in NLP
    • 1–2 years in Generative AI

    Key Skills:

    • LLM architectures
    • fine-tuning methods (LoRA, PEFT)
    • embeddings
    • vector search
    • Python
    • LangChain
    • Transformers (HuggingFace)
    • LlamaIndex
    • SmolAgents
    • ML observability and explainability tools (e.g., TruEra, Arize, WhyLabs)
    • cloud-based ML services (AWS Sagemaker, AWS Bedrock, Azure OpenAI Service, Azure ML Studio, Azure AI Foundry)
    • LangGraph
    • function calling
    • tools for orchestration in agent-based systems
    • infrastructure-as-code (Terraform/CDK)
    • DevOps for AI pipelines

    Qualification:

    • Master’s or Bachelor’s degree in Computer Science, Machine Learning, AI, or a related field

    Role Focus:

    • Design, develop, and optimize NLP-driven AI solutions using state-of-the-art models and techniques (NER, embeddings, summarization, etc.)
    • Build and productionize RAG pipelines and agentic workflows to support intelligent, context-aware applications
    • Fine-tune, prompt-engineer, and deploy LLMs (OpenAI, Anthropic, Falcon, LLaMA, etc.) for domain-specific use cases
    • Collaborate with data scientists, backend developers, and cloud architects to build scalable AI-first systems
    • Evaluate and integrate third-party models/APIs and open-source libraries for generative use cases
    • Continuously monitor and improve model performance, latency, and accuracy in production settings
    • Implement observability, performance monitoring, and explainability features in deployed models
    • Ensure solutions meet enterprise-level requirements for reliability, traceability, and maintainability

    Nice to have:

    • Domain knowledge in Electrification, Energy, or Industrial AI

    Other:

    • We value your unique identity and perspective and are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society.
    • All employment decisions at Siemens are based on qualifications, merit and business need.

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

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