Pre-screened and vetted.
Senior Data Scientist specializing in ML, fraud risk, and Generative AI (RAG/LLMs)
Mid-level AI/ML Engineer specializing in GenAI, computer vision, and real-time ML pipelines
Senior Full-Stack AI/ML Engineer specializing in personalization, NLP, and GenAI platforms
Mid-level Data Engineer specializing in cloud lakehouse and streaming platforms
Mid-level AI/ML Engineer specializing in Generative AI agents and enterprise analytics
Senior AI/ML Engineer specializing in computer vision, GenAI, and 3D spatial analytics
Senior Machine Learning Engineer specializing in AI, NLP, computer vision, and GenAI
Mid-level Software Engineer specializing in GenAI and distributed systems
Senior AI/ML Engineer specializing in Generative AI and conversational systems
Junior Full-Stack Engineer specializing in AI agents, RAG, and distributed systems
Senior Full-Stack Engineer specializing in cloud-native Java microservices and GenAI
Mid-level Full-Stack Engineer specializing in AI-powered enterprise applications
Mid-level GenAI/ML Engineer specializing in LLMs, RAG, and agentic AI
Senior Full-Stack & AI Engineer specializing in LLM integrations and cloud-native systems
“Backend/data engineer with hands-on production experience building FastAPI Python APIs and AWS-native platforms (Lambda/API Gateway, SQS, ECS Fargate) with Terraform + GitHub Actions CI/CD and strong reliability practices (JWT/RBAC, retries/timeouts, structured errors/logging). Also built AWS Glue ETL pipelines (S3/RDS to curated S3/Athena) with schema evolution and data quality controls, modernized legacy processing via parallel-run validation and phased cutovers, and has demonstrated SQL tuning impact (seconds to <200ms) plus incident ownership for batch pipeline SLAs.”