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Vetted Apache Hive Professionals
Pre-screened and vetted.
Senior Software Engineer specializing in ML integrity and large-scale data pipelines
Senior Software Engineer specializing in distributed systems and streaming platforms
Junior Software Development Engineer specializing in AI agents and personalization
Entry-Level Software Development Engineer specializing in distributed systems and logistics orchestration
Mid-level AI/ML Engineer specializing in GPU-accelerated LLMs, RAG, and production MLOps
Staff Software Engineer specializing in real-time data pipelines and full-stack platforms
Mid-level Machine Learning Engineer specializing in MLOps and cloud-native ML systems
Mid-level AI/ML Engineer specializing in LLMs, search ranking, and multimodal ML
Staff Full-Stack Engineer specializing in cloud microservices and AI-enabled platforms
Senior AI/ML Software Engineer specializing in LLMs, NLP, and scalable ML platforms
Mid-level Data Scientist / GenAI & ML Engineer specializing in LLMs, RAG, and recommendations
Mid-level Data Engineer specializing in AI/ML and cloud data platforms
Mid-level Machine Learning Engineer specializing in LLM personalization and scalable MLOps
Mid-level AI/ML Engineer specializing in LLM fine-tuning, RAG, and MLOps
Mid-level Management Consultant specializing in private equity due diligence and strategy
Mid-level Machine Learning Engineer specializing in real-time recommender systems and MLOps
Mid-level AI/ML Engineer specializing in NLP, computer vision, and recommender systems
Akhil Maram
Senior Data Engineer specializing in real-time data platforms and lakehouse architectures
“Senior, product-focused engineer who has built real-time customer-facing web applications and a microservices backend (TypeScript/React/Node) using RabbitMQ, MongoDB, and Redis. Demonstrates strong operational maturity (idempotency, tracing/observability, backpressure) and built an internal console that became the primary tool for debugging, replaying jobs, and managing system behavior.”
Yishi Wang
Junior Machine Learning & Data Science professional specializing in LLMs and analytics
“Amazon internship experience building production GenAI analytics for the returns organization: a multi-agent LLM+RAG system that let analysts query multiple heterogeneous data sources in natural language without hand-written SQL. Also built and operationalized four Apache Airflow DAGs for large-scale ETL, emphasizing observability and freshness-aware metadata to keep outputs accurate and up to date.”
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and scalable GPU inference
Mid-level AI/ML Engineer specializing in LLMs, RAG, and production MLOps