AI ML Consultant

NTT
Pune
Workplace: OnsiteFull timeFunction: Software EngineeringSkills: []

Develop and deliver AI/ML solutions in a consulting capacity, leveraging Python-based ML stacks and modern GenAI/LLM technologies. Build agentic AI capabilities using frameworks such as LangChain, Autogen, and CrewAI, and implement robust ML operations with deployment workflows using Docker and Kubernetes. Apply retrieval and storage concepts with vector databases, integrate async APIs with Pydantic/FastAPI, and work with Azure/Azure AI and Git-based version control.

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FursaFursa
NTT
NTT
1 week ago

AI ML Consultant

✓ Verified Job

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Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

Develop and deliver AI/ML solutions in a consulting capacity, leveraging Python-based ML stacks and modern GenAI/LLM technologies. Build agentic AI capabilities using frameworks such as LangChain, Autogen, and CrewAI, and implement robust ML operations with deployment workflows using Docker and Kubernetes. Apply retrieval and storage concepts with vector databases, integrate async APIs with Pydantic/FastAPI, and work with Azure/Azure AI and Git-based version control.
Location: Pune
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Requirements

  • •Experience building AI/ML solutions using Python and libraries such as Pandas, NumPy, PyTorch, and Scikit-Learn.
  • •Must have experience with agentic AI frameworks including LangChain, Autogen, and CrewAI.
  • •Must have experience with GenAI and LLMs.
  • •Must have ML Ops and deployment experience, including Docker and Kubernetes.
  • •Experience with async Python and API development using Pydantic and FastAPI, plus Azure/Azure AI and GitLab version control.
Tech Stack:PythonPandasNumPyPyTorchScikit-LearnLangChainAutogenCrewAIGenAILLMsDockerKubernetesVector DBRetrievalStoragePydanticFastAPIAzureAzure AIGitlab

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