{"schemaVersion":"jobsearcher.job.v1","id":"87434ad41f60bf1da6be4cce","url":"https://jobsearcher.com/jobs/87434ad41f60bf1da6be4cce","canonicalUrl":"https://jobsearcher.com/jobs/87434ad41f60bf1da6be4cce","title":"Lead Data Engineer + AI / machine learning","description":"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","company":"Cloudingest","rawCompany":"cloudingest","city":"Alpharetta","state":"GA","isRemote":false,"isActive":false,"createdAt":"2026-07-03T10:34:02.198Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Lead Data Engineer + AI / machine learning","description":"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","datePosted":"2026-07-03T10:34:02.198Z","dateModified":"2026-07-03T10:34:02.198Z","hiringOrganization":{"@type":"Organization","name":"Cloudingest","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Alpharetta","addressRegion":"GA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"87434ad41f60bf1da6be4cce"},"url":"https://jobsearcher.com/jobs/87434ad41f60bf1da6be4cce"}}