Description

Job Description:
5+ years of work experience in Software Engineering
3+ 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, pattern recognition.
Development experience with AI frameworks such as TensorFlow, Microsoft CNTK, scikit, Keras, Caffe, Gluon, 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 presenting to technical and business audiences
Position open to ATL and MSP offices

Key Skills
Education

Any Graduate

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