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Blue Yonder

Data Scientist I

Blue Yonder
India · Full-time · Not Applicable

Required Skills

What we are looking for:

  • Bachelor’s degree in computer science, Artificial Intelligence, Data Science, or a STEM related field.
  • Minimum 1+ years of hands-on experience in Gen AI projects with a strong understanding of the Gen AI development ecosystem.
  • MUST have strong proficiency in development using Python and ML libraries (pandas, numpy, sklearn, Pytorch, transformers, Hugging Face, LangChain etc.)
  • Strong knowledge of LLMs, prompt engineering, RAG, LLM evaluations/ monitoring.
  • Experience with cloud platforms (AWS, GCP, or Azure) and Github.
  • Experience with working with Microsoft Foundry is a plus.
  • Comfortable with working in a startup environment embedded within an enterprise.
  • Passion for pushing the boundaries of AI and a commitment to staying at the cutting edge of industry trends and technologies.

Preferred Skills

  • Familiarity with CI/CD pipelines and automated testing strategies.
  • Familiarity with monitoring, logging, and observability tools for LLMs.
  • Previous experience with working on data science problems in supply chain context
  • Strong communication skills and ability to explain complex technical concepts.
  • Contributions to open-source projects in the AI/ML space

Our Values

If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here: Core Values

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

Key Skills

Ranked by relevance

ai artificial intelligence embedded pytorch python pandas cloud numpy cicd aws gcp
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Posted
Apr 06, 2026
Type
Full-time
Level
Not Applicable
Location
Bengaluru

Industries

Software Development IT Services IT Consulting Information Services

Categories

Management Information Technology Engineering

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