Generative ai engineer

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, v LLMs - Cloud based and on-premise
Experience in Developing RAG and Knowledge Graph based solutions
Understanding on Agentic AI – Tool calling, MCP Server and A2 A
Technology Stack / Programming Experience:
Proficient in Python programming preferred
Tensorflow, Keras, Scikit learn, Pandas
Visualizations: Matplotlib, bokeh, seaborn, etc
Experience in working with Gen AI – LLMs – preferably Azure Open AI and AWS
Working in cloud environment (Azure) would be preferred
Experience with NVIDIA NIM / Omniverse will be preferred