Role: MLOps Engineer to work on Devops, AWS, Databricks Location: Charlotte, NC (Hybrid-3 days) Duration: Long Term Job Description: Mandatory Skills : Flask,Python,BI Reports / Data Visualization Testing,GenAI - LLMOps,Statistics-Data Science,Machine Learning Algorithms,Deep Learning Algorithms,Natural Language Processing - AIOPS,Django,Keras Responsibilities: • 4 to 6 years of strong experience with AWS Gov Cloud environments Export Control FedRAMP environments • Preferred USC candidate. • Overall 8 to 10 years of solid experience in the areas of data engineering machine learning data science • 4 to 6 years of strong experience with the following machine learning topics classification clustering optimization deep learning NLP with Python in a programming intensive role • 6 to 8 years of strong experience in Python PySpark coding • 4 to 6 years of industry experience with popular ML frameworks such as Keras Tensorflow PyTorch HuggingFace Transformers and libraries like scikitlearn etc • 4 to 6 years of experience with ClassicAIGenAI ML Model Operationalization in Production • 4 to 6 years of strong experience in Azure Databricks AWS Databricks specializing in EndtoEnd MLOps architecture with practical expertise in Databricks Unity Catalog MosaicAI serverless solutions MLOps stacks and Lakehouse monitoring among other areas • 4 to 6 years of industry experience with distributed computing frameworks such as Spark Kubernetes ecosystem etc • 4 to 6 years of experience with CICD Dev Ops process • Effective communication skills and succinct articulation • Experience working with remote and global teams and cross team collaboration.