Data Scientist

Kyndryl

Generative ai and large language models expertise
Nlp and mlops implementation skills
Cloud platform deployment experience azure aws gcp
The role serves as a bridge between complex business problems and innovative data-driven solutions using advanced statistical and engineering methodologies

Job Summary

  • The role serves as a bridge between complex business problems and innovative data-driven solutions using advanced statistical and engineering methodologies.
  • Candidates will lead the development of Generative AI projects, prepare Proof of Concepts for clients, and ensure models are deployed effectively across major cloud platforms.
  • Kyndryl offers extensive learning opportunities including certifications from Microsoft, Google, and Amazon, alongside a commitment to diversity and employee well-being.

Matching Summary

The role serves as a bridge between complex business problems and innovative data-driven solutions using advanced statistical and engineering methodologies.

Skills & Requirements

Must-have

  • Generative AI and Large Language Models expertise
  • NLP and MLOps implementation skills
  • Cloud platform deployment experience Azure AWS GCP
  • Transformer models fine-tuning RAG techniques
  • Python and C/C++ programming proficiency

Nice-to-have

  • Growth mindset and customer-focused approach
  • Experience with RFP response and client presentations
  • Inclusive and borderless working style
  • Domain knowledge in Financial or Telecom sectors
  • Hands-on experience with DevOps practices

Key Requirements

  • Minimum 10 years of Data Science and Machine Learning experience
  • PhD in Computer Science or equivalent research experience
  • Graduate degree in quantitative discipline with 10-12 years IT experience
  • Strong domain experience in at least two industries
  • Proven track record in responding to RFPs and customer proposals

Work Rights

Not specified

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