Must be strong on AWS
Qualifications:
* 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