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Vetted Amazon EMR Professionals
Pre-screened and vetted.
Mid-level AI/ML Engineer specializing in Generative AI agents and FinTech risk systems
Mid-level Machine Learning Engineer specializing in real-time recommender systems and MLOps
Senior Software Engineer specializing in cloud platforms, data pipelines, and ML
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.”
Riccardo Bernardi
Senior Infrastructure Engineer specializing in cloud, Kubernetes, and MLOps
“LLMOps-focused technical leader who took an LLM use case from prototype to production for a non-technical customer by combining trust-building and structured enablement with a robust AWS/Kubernetes-based MLOps stack. Built observability and rollback mechanisms (Grafana + MLflow) to troubleshoot in real time, and scaled delivery by hiring a 5-person team while partnering with sales to manage expectations and drive adoption across departments.”
Mid-level AI/ML Engineer specializing in LLMs, RAG, and distributed MLOps
Senior Full-Stack Software Engineer specializing in cloud-native web applications
Principal Data Scientist specializing in ML, NLP, and forecasting for marketing and supply chain
Staff Full-Stack Engineer specializing in data engineering and real-time event platforms
Mid-level Software Engineer specializing in backend, ML platforms, and FinTech
Jolie Qiu
Mid-Level Software Engineer specializing in AWS data infrastructure and pipeline automation
“AWS-focused software engineer who built a self-serve ETL pipeline scheduling service for non-engineers, including automated CloudFormation-based onboarding that cut setup time from 2–3 weeks to ~5 minutes. Strong in production reliability and customer-facing data platforms (EMR/DynamoDB/Lambda), with examples spanning pagination at scale, cross-table consistency, and phased rollouts to improve Parquet log SLAs.”
Mid-level Machine Learning Engineer specializing in NLP, recommender systems, and on-device ML
Senior Backend Engineer specializing in scalable AWS serverless and data pipelines
Senior AI/ML Engineer specializing in personalization, recommendations, and forecasting
Mid-level Data Engineer specializing in cloud data platforms and streaming pipelines
Mid-level Data Engineer specializing in cloud-native big data pipelines and analytics
Senior Machine Learning Engineer specializing in LLMs and Generative AI
Senior Software Engineer specializing in data lineage and cloud data platforms
Senior Data Engineer specializing in cloud data platforms and real-time analytics
Rhutwij Tulankar
Engineering Manager and ML/Data Architect specializing in scalable data platforms and personalization
“Hands-on engineering manager at a marketing company leading a highly senior, distributed team (10 direct reports) while personally coding ~60–70% and owning end-to-end architecture across three interconnected products. Built agentic CRM automation and a reinforcement-learning-driven distribution layer for channel spend/bidding, with a strong focus on scalable design and observability (Prometheus/APM/logging) enabling frequent releases and few production incidents.”