Data Engineer + AI / machine learning
Onsite -Alpharetta GA / NJ
Rate-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 models
Work hands-on with Python
Develop or integrate machine learning models and inference workflows
Contribute 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 Snowflake
Building data pipelines and ML workflows end-to-end
The team will be working on use cases such as:
Building merchant-level analytical datasets and feature pipelines
Performing feature engineering and model-ready dataset creation
Developing 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 integration
Within 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

Lead Data Engineer + AI / machine learning

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