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ML Engineer - Inference & Model Deployment
Cupertino, CA, US
$250k-$310k/yr On-SiteFull Time
Turn powerful AI and ML models into fast, reliable production systems. Own inference latency, throughput, model-serving architecture, multi-GPU systems, and production deployment for millions of users.
Python, PyTorch, vLLM, SGLang, TensorRT, LLMs
3w
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Staff Data Engineer
Beavercreek or Dayton or St. Louis or United States
OnsiteFull Time
5+ YOEBS degree, 5+ years experience, DoD Top Secret clearance required, proficiency with Python, SQL, Spark, orchestration tools (Airflow, Dagster, Argo Workflow), data modeling, cloud-native deployment, and strong communication skills.
Python, SQL, Spark, Airflow, Dagster, Argo Workflow, Kubernetes
1w
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Senior Power Platform Developer
St. Louis or Fort Lee
RemoteContract
6+ YOEActive Secret clearance, 6+ years BI/analytics/application development experience with 4+ years Power BI and 2+ years Power Apps/Power Automate; strong DAX, Power Query/M, SQL, data modeling, and Power Platform deployment skills.
Power BI, Power Apps, Power Automate, DAX, Power Query/M, SQL, Dataverse, SharePoint, Azure, Azure Functions, GCSS-Army, SAP, Power BI deployment pipelines, Power Platform, Army 365, GCC High, Microsoft Government tenant