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Vetted Amazon Redshift Professionals
Pre-screened and vetted.
Intern Software Engineer specializing in distributed systems and data pipelines
Mid-level Software Engineer specializing in Python automation and Agentic AI (RAG)
Mid-level Data Engineer specializing in cloud data platforms and streaming analytics
Mid-level Data Scientist specializing in NLP, recommender systems, and time-series forecasting
Junior Software Developer specializing in cloud automation and data pipelines
Mid-level Data Scientist specializing in ML, MLOps, and Generative AI
Senior Software Engineer specializing in AI platforms and cloud-native systems
Senior Full-Stack Engineer specializing in AI-enabled SaaS and cloud platforms
Mid-level AI/ML Engineer specializing in Generative AI, multi-agent RAG, and FastAPI backends
Mid-level Full-Stack Java Developer specializing in cloud-native microservices
Mid-level AI & Data Engineer specializing in cloud ML, RAG systems, and ETL automation
Senior AI & Full-Stack Software Engineer specializing in LLM platforms and MLOps
Mid-level Backend Software Engineer specializing in AWS serverless and distributed systems
Senior Data Engineer specializing in Machine Learning and Healthcare Data Platforms
Mid-Level Software Engineer specializing in AI/ML, cloud deployment, and full-stack systems
Director-level Engineering Leader specializing in scalable cloud platforms and real-time AI systems
Pujitha Sangaraju
Mid-Level Embedded Software Engineer specializing in real-time firmware and industrial automation
“Robotics software engineer focused on reliability in real-time sensor pipelines and ROS/ROS2 integration, with hands-on experience hardening systems against noisy data, dropouts, and network variability. Uses ROS introspection tools plus simulation (Gazebo/Webots) to diagnose latency and stability issues before hardware deployment, and supports repeatable rollouts via Docker and CI/CD.”
Mid-level Full-Stack Engineer specializing in healthcare, mobile apps, and AI