Data Scientist

JOB DESCRIPTION: Design and implement endtoend machine learning ML pipelines using services such as Amazon SageMaker AWS Glue AWS Lambda and Amazon S3 Perform data collection cleaning and feature engineering to prepare datasets for modeling Develop predictive models and statistical analyses using Python R or similar tools Deploy monitor and optimize ML models in production environments using AWS ML Ops best practices Collaborate with data engineers to design ETL pipelines and ensure data availab

Hiring: Data Scientist Charlotte, NC We are looking for a talented AWS Data Scientist / ML Engineer to build scalable AI/ML solutions and drive advanced analytics initiatives in a cloud-native environment. Role: Data Scientist Type: Long Term Contract Location: Charlotte, NC Key Responsibilities Design and implement endtoend machine learning ML pipelines using services such as Amazon Sage Maker AWS Glue AWS Lambda and Amazon S3Perform data collection cleaning and feature engineering to prepare

Data Engineer / Data Scientist - MLOps & Machine Learning Overview Seeking a highly analytical and hands-on Data Engineer / Data Scientist with strong MLOps experience in Databricks environments. This role requires a strong foundation in machine learning theory, model development, and large-scale cloud-based data platforms. The ideal candidate should be comfortable working across engineering and data science teams while supporting end-to-end ML workflows in production environments. Must Haves

RESPONSIBILITIES: Kforce has a client that is seeking a Senior AI AWS Data Engineer in Charlotte, NC. Duties Include: * Design, build, and optimize scalable data pipelines using AWS Glue, Apache Kafka, AWS Lambda, and Step Functions * Develop and maintain robust data lakes and data warehouses on Amazon S3 * Implement infrastructure as code using CloudFormation Templates (CFT) * Collaborate with Data Scientists and ML Engineers to integrate AI/ML models into production-grade data workflows * Wri