GenAI Architect

NTT
Bengaluru
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Problem-solving","Critical thinking","Communication","Stakeholder management","Adaptability"]

Design and implement GenAI and AI/ML solutions for prediction, recommendation, text analytics, computer vision, chatbots, and content intelligence. Build and deploy ML models using TensorFlow, PyTorch, Keras, spaCy, and scikit-learn, applying NLP, GANs, transformers, and RAG with LangChain/LlamaIndex and vector databases. Integrate LLM APIs (Hugging Face, OpenAI, Google Vertex AI, AWS Bedrock), build scalable Python APIs, and lead end-to-end pipelines from ingestion to monitoring.

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FursaFursa
NTT
NTT
1 week ago

GenAI Architect

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Source: Company careers pageValidated by: Fursa AI
Last checked: 23 hours agoStatus: Live

Job Summary

Design and implement GenAI and AI/ML solutions for prediction, recommendation, text analytics, computer vision, chatbots, and content intelligence. Build and deploy ML models using TensorFlow, PyTorch, Keras, spaCy, and scikit-learn, applying NLP, GANs, transformers, and RAG with LangChain/LlamaIndex and vector databases. Integrate LLM APIs (Hugging Face, OpenAI, Google Vertex AI, AWS Bedrock), build scalable Python APIs, and lead end-to-end pipelines from ingestion to monitoring.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, develop, and implement AI/ML and Generative AI solutions for domains like prediction, recommendations, text analytics, computer vision, chatbots, and content intelligence.
  • •Build and deploy advanced ML models using TensorFlow, PyTorch, Keras, spaCy, and scikit-learn.
  • •Apply knowledge of statistics, machine learning, NLP, and generative models such as GANs and transformers.
  • •Use RAG approaches with tools like LangChain and LlamaIndex and vector databases such as FAISS and Milvus.
  • •Collaborate on end-to-end AI pipelines (data ingestion to model deployment and monitoring) and support GenAI use cases, prototypes, and POCs.

Key Requirements

  • •5+ years of experience using Python and relevant ML/data science packages.
  • •3+ years of experience architecting high-impact GenAI solutions for diverse clients, preferably in Private AI and Smart Agentic solutions.
  • •10+ years participating in projects focused on areas such as predictive analytics, data integrations, system design/architecture, AI/ML, and ML Ops.
  • •Strong understanding of LLM technologies, embedding models, cloud-based AI services, and AI/ML operations.
  • •Hands-on experience with cloud-based AI platforms, including Azure OpenAI, Google Vertex Gen AI, and AWS AI services.
Experience:5+ yearsAI/MLGenerative AIPrivate AISmart AgentsLLMsNLP
Skills:Problem-solvingCritical thinkingCommunicationStakeholder managementAdaptability
Tech Stack:PythonTensorFlowPyTorchKerasSpaCyScikit-learnGANsTransformersNLPRAGLangChainLlamaIndexFAISSMilvusFlaskDjangoDjango Rest FrameworkFastAPIHugging FaceOpenAI

Company Brief

NTT
Dimension Data, operating under NTT Ltd, provides managed IT services, cloud and data center solutions, networking, cybersecurity, and digital transformation services to enterprise customers worldwide.
Industry: Professional Services
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Valuation: Public Company (Market Cap in USD)
Headquarters: London, United Kingdom
Founded: 1983
WebsiteLinkedIn