Description

Total of 10+ years of IT Experience .

5+ years of work/educational experience in Artificial Intelligence/Machine Learning

Experience with Agile Software Development Lifecycles and DevOps/DevSecOps

Development experience on AWS, AWS Sagemaker required

Experience with one or more general-purpose programming languages including but not limited to Python, R, Scala, Spark

Experience with one or more of the following: Natural Language Processing, sentiment analysis, classification, and pattern recognition.

Development experience with AI frameworks such as TensorFlow, Microsoft CNTK, scikit, Keras, Caffe, Gluon, and Torch.

Familiarity with GenAI technology stack, including frameworks for prompt engineering, guardrails for GenAI applications, and LLM fine-tuning

Experience working with VectorDBs and other data infrastructure required to efficiently support Generative AI training pipelines and production applications 

Experience training and maintaining large language models

Experience with production-grade development, integration, and support

Experience and familiarity with presenting to technical and business audiences


 

Key Skills
Education

Any Graduate

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