Lead Data Engineer + AI / machine learning

Data Engineer + AI / machine learning Onsite -Alpharetta GA / NJRate-65 /hr on c2c platform focused on building recommendation systems and advanced analytics using large-scale merchant datasets.The goal is not to hire traditional ETL-focused engineers or pure data scientists. Instead, we’re targeting hybrid Data Engineers who can:Build scalable data pipelines and data modelsWork hands-on with PythonDevelop or integrate machine learning models and inference workflowsContribute to MLOps pipelines (deployment, monitoring, lifecycle)Our environment is AWS-centric, and relevant experience is important, particularly:AWS (S3, Glue, SageMaker, ECS/Fargate)Working with data platforms like SnowflakeBuilding data pipelines and ML workflows end-to-endThe team will be working on use cases such as:Building merchant-level analytical datasets and feature pipelinesPerforming feature engineering and model-ready dataset creationDeveloping recommendation systems (e.g., nearest neighbor, ML-based models)Supporting model training, evaluation, and inference pipelines in AWS (SageMaker/ECS)At a high level:The Engineers will execute across data pipelines, feature engineering, and ML integrationWithin the pod, we expect a mix of strengths (some stronger in ML, others in core data engineering)We’ve also included Agentic/LLM-based experience as a “nice-to-have”, not a requirement—this helps future-proof the team without narrowing the candidate pool too much.Key profile we’re targeting: Data Engineers who can move beyond pipelines and help build systems that generate insights and drive recommendations from data