GenAI Dev Lead

NTT
Bengaluru
Workplace: OnsiteFull timeFunction: Administration & Executive AssistanceExperience: 3+ yearsSkills: ["Problem-solving","Critical thinking","Communication","Collaboration","Adaptability"]

Develop and deploy GenAI and AI/ML solutions spanning prediction, recommendation, text analytics, computer vision, chatbots, and content intelligence. Build ML models with TensorFlow, PyTorch, Keras, spaCy, and scikit-learn, applying NLP, transformers, and GANs. Implement RAG using LangChain, LlamaIndex, FAISS, and Milvus; integrate LLM APIs (Hugging Face, OpenAI, Vertex AI, AWS Bedrock). Deliver end-to-end pipelines from data ingestion to monitoring and support GenAI use cases for enterprise clients.

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FursaFursa
NTT
NTT
1 week ago

GenAI Dev Lead

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

Job Summary

Develop and deploy GenAI and AI/ML solutions spanning prediction, recommendation, text analytics, computer vision, chatbots, and content intelligence. Build ML models with TensorFlow, PyTorch, Keras, spaCy, and scikit-learn, applying NLP, transformers, and GANs. Implement RAG using LangChain, LlamaIndex, FAISS, and Milvus; integrate LLM APIs (Hugging Face, OpenAI, Vertex AI, AWS Bedrock). Deliver end-to-end pipelines from data ingestion to monitoring and support GenAI use cases for enterprise clients.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Administration & Executive Assistance

Key Responsibilities

  • •Develop and implement AI/ML and generative AI solutions for prediction, recommendation, text analytics, computer vision, chatbots, and content intelligence platforms.
  • •Build and deploy ML models using TensorFlow, PyTorch, Keras, spaCy, and scikit-learn, applying statistics, NLP, and generative model techniques (including GANs and transformers).
  • •Apply RAG approaches using LangChain, LlamaIndex, and vector databases such as FAISS and Milvus; integrate and manage LLM APIs and registries.
  • •Build scalable AI services with Python frameworks including Flask, Django, Django Rest Framework, or FastAPI, and design end-to-end AI pipelines from ingestion to deployment and monitoring.
  • •Collaborate with cross-functional teams and clients to deliver customized solutions, including GenAI use cases, prototypes/POCs, and work on private AI and smart agent solutions.

Key Requirements

  • •3+ years using Python and relevant ML/data science packages.
  • •2+ years delivering impactful GenAI solutions, preferably in Private AI and smart agentic systems.
  • •5+ years in predictive analytics, machine learning/deep learning, generative AI, data design, or ML ops/AI infrastructure.
  • •Strong understanding of LLM technologies (including embedding models), cloud-based AI services, and AI/ML operations.
  • •Hands-on experience with cloud AI platforms such as Azure OpenAI, Google Vertex Gen AI, and AWS AI services.
Experience:3+ years
Skills:Problem-solvingCritical thinkingCommunicationCollaborationAdaptability
Tech Stack:PythonTensorFlowPyTorchKerasSpaCyScikit-learnGANsTransformersNLPRAGLangchainLlamaIndexFAISSMilvusHugging FaceOpenAIGoogle Vertex AIAWS BedrockAzure OpenAIFlask

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