Job Description

Experience: 10+ years


Data Science, Machine Learning and/or Artificial Intelligence

One or more of the following skillsets:

  • Good understanding of statistical concepts (both descriptive and inferential statistics)
  • Ability to create charts, graphs and visualizations as part of exploratory / descriptive analytics
  • Experience in predictive analytics (predictive analytics basics, classification, regression, ridge and lasso regressions, etc)
  • Experience in prescriptive analytics, what-if analysis, optimization techniques, simulation techniques
  • Experience in Deep Learning, Encoder-Decoder, Transformer Architecture
  • Experience in Developing Generative AI Solutions using LLMS, vLLMs - Cloud based and on-premise
  • Experience in Developing RAG and Knowledge Graph based solutions
  • Understanding on Agentic AI – Tool calling, MCP Server and A2A

Technology Stack / Programming Experience:

  • Proficient in Python programming preferred
  • Tensorflow, Keras, Scikit learn, Pandas
  • Visualizations: Matplotlib, bokeh, seaborn, etc
  • Experience in working with GenAI – LLMs – preferably Azure OpenAI and AWS
  • Working in cloud environment (Azure) would be preferred
  • Experience with NVIDIA NIM / Omniverse will be preferred

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