JD: Must Haves Skills Experience with Building different Data Science Projects and its Testing activities. Experience with Training and Testing supervised and unsupervised Machine Learning Models. Experience with different kinds of metrics for evaluating Data Science model and its accuracies. Experience with Python on building Automation framework.Extensive experience with Python scripting with respective to Data processing, Data mining and Data cleansing. Extensive experience with Python scripting with respective Data Science and Machine Learning activities. Experience in Data Science platforms like SageMaker/Machine Learning Studio/ H2O. Experience in building Gen AI projects with different kinds of LLMs. Extensive experience with AWS components like S3, Athena, EMR, Glue, Redshift, Kinesis and Sage maker Experience in Automating ETL process with Python and Automation around AWS Data & Infrastructure Extensive Experience with SQL/Unix/Linux scripting is a must Extensive experience on Developing/testing Cloud/On Prem ETL (AWS Glue, Alteryx) Experienced in large-scale application development testing – Cloud/ On Prem Data warehouse, Data Lake, Data Science Experience in building Data flow CI/CD pipelines in GitLab Extensive experience in DevOps/Data Ops space. Strong experience of Kafka. Job Types: Full-time, Contract Pay: $46.52 - $50.68 per hour Benefits: 401(k) Dental insurance Health insurance Application Question(s): WORK AUTHORIZATION? OPEN TO WORK ON W2/ 1099? Ability to Commute: Dallas, NC 28034 (Required) Ability to Relocate: Dallas, NC 28034: Relocate before starting work (Required) Work Location: In person