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Kyndryl

Managed IT infrastructure and cloud services

Data Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeMumbai, Maharashtra, IndiaNo salary listedIn-person

About the Job

Requirements

  • A PhD or equivalent with 6–8 years of experience in the information technology industry.
  • At least 4 years of hands-on experience in a Data Scientist or similar role.
  • Experience in data science, machine learning, Generative AI, and Large Language Models.
  • Strong understanding of Transformers, Large Language Models, fine-tuning, agents, and retrieval-augmented generation techniques.
  • Experience developing AI agents.
  • Experience with major cloud platforms including Azure, Google Cloud Platform, and Amazon Web Services.
  • Understanding of deploying Large Language Models on cloud and on-premises environments and using application programming interfaces to build industry solutions.
  • Experience using OpenAI on Azure, Amazon Bedrock, and Google Vertex AI.
  • Two to three projects in the candidate's domain of expertise.
  • Strong knowledge of Python.
  • Fluency in written and spoken English.

Responsibilities

  • Develop and deploy Generative AI and Large Language Model projects in alignment with business objectives.
  • Participate in developing Generative AI solutions and AI agents.
  • Design and deploy proofs of concept and points of view across industry verticals to demonstrate the potential of Generative AI applications.
  • Engage with customers to showcase and demonstrate the relevance and impact of Generative AI applications in their businesses.
  • Collaborate with cross-functional teams to integrate artificial intelligence and machine learning solutions into cloud environments such as Azure, Google Cloud Platform, and Amazon Web Services.

Desired Qualifications

  • Strong knowledge of C and C++.

About the Company

Kyndryl

Managed IT infrastructure and cloud services

Kyndryl provides managed IT infrastructure services for large enterprises, helping them run and modernize their technology environments. Its offerings cover cloud adoption, cybersecurity, security operations, and digital workplace services, all delivered under long-term managed-service contracts. The company works by partnering with major technology providers (including Microsoft) to offer integrated, end-to-end solutions, often complemented by a new security operations center (SOC) and other security capabilities. This focus sets it apart from competitors through scale, enterprise-grade governance, and a history rooted in IBM’s infrastructure services, now independent but aligned with large technology partners. The goal is to support digital transformation by providing reliable, scalable, and secure infrastructure management that enables enterprises to operate efficiently and securely in a cloud-enabled world.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
2021

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