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.