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Vetted Apache Hadoop Professionals
Pre-screened and vetted.
Senior AI/ML Engineer specializing in LLMs, NLP, and production ML systems
Mid-level Machine Learning Engineer specializing in MLOps, RAG, and real-time personalization
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and real-time recommendation systems
Staff Machine Learning Engineer specializing in LLMs, recommendations, and MLOps
Mid-Level Software Engineer specializing in cloud platforms, ML/GenAI, and distributed systems
Senior Data & ML Engineer specializing in big data platforms and marketing/ads ML
Senior Data Scientist specializing in AI/Deep Learning and applied machine learning
Mid-level Machine Learning Engineer specializing in MLOps and Generative AI
Mid-level Machine Learning Engineer specializing in GenAI, forecasting, and MLOps
Director of Enterprise Analytics specializing in AI/ML for healthcare and insurance
Senior Software Engineer specializing in distributed systems, ML infrastructure, and search
Mid-Level Software Engineer specializing in cloud-native backend and distributed systems
Staff AI & Data Engineer specializing in LLM systems and real-time data platforms
Junior Data Scientist & Data Engineer specializing in ML and scalable data pipelines
Mid-level AI/ML Engineer specializing in cloud MLOps and GenAI for fraud detection
Ethan Pribble
Senior Software Engineer specializing in cloud cost intelligence and FinOps platforms
“Backend/data engineer with strong authorization and compliance-domain experience: led a phased migration from a simplistic role model to modern RBAC on a Python serverless stack (Auth0 + AWS Lambda/API Gateway), coordinating changes across 5 repos with extensive manual and automated validation. Previously built and operated custom ETL pipelines (Airflow + Groovy/Java on Spark/YARN/Hadoop) to normalize messy customer email/chat/voice data for NLP-driven financial compliance indicators, including complex email journaling metadata enrichment and large-scale remediation reprocessing after production bugs.”
Pavanika Thotakura
Senior Data Engineer specializing in cloud big data pipelines and real-time streaming
“Amazon data engineer who built a real-time fraud detection pipeline for AWS Lambda, tackling multi-region telemetry quality issues and scaling stream processing for billions of daily requests. Strong in production-grade data/ML workflows on AWS (EMR, Glue, Kinesis, SageMaker) with hands-on entity resolution and anomaly detection.”