Pre-screened and vetted.
Mid-level Backend Engineer specializing in distributed systems and industrial IoT
“Backend/Python engineer focused on real-time sensor/IoT analytics: built dashboards and a high-throughput ingestion pipeline (MQTT -> Python worker -> TimescaleDB) with buffering, batch inserts, and validation. Strong Kubernetes + GitOps practitioner (Dockerized microservices, HPA, probes, ArgoCD) who has handled production incidents like CrashLoopBackOff under peak load and supported an on-prem analytics migration to AWS using shadow traffic and rollback plans.”
Mid-Level Machine Learning & Backend Engineer specializing in computer vision and robotics systems
Mid-level Machine Learning Engineer specializing in production ML, MLOps, and LLM retrieval systems
Intern AI/ML Engineer specializing in RAG and adversarial robustness
Junior Data Scientist specializing in LLMs, RAG, and multimodal AI
Mid-level AI/ML Engineer specializing in LLMs, RAG, and cloud AI infrastructure
Mid-level Machine Learning Engineer specializing in MLOps, GenAI, and financial risk modeling
Mid-level AWS AI/ML Engineer specializing in cloud ML pipelines and NLP
Mid-level AI/ML Engineer specializing in Generative AI, NLP, and scalable cloud ML
Junior Machine Learning Engineer specializing in LLM fine-tuning and AWS deployment
Mid-level AI/ML Engineer specializing in LLM agents, search/recommendation, and MLOps
Mid-level Data Scientist specializing in ML, NLP and forecasting
Mid-level Software Engineer specializing in AI/GenAI and cloud-native backend systems
Mid-level AI/ML Engineer specializing in MLOps, fraud detection, and predictive analytics
Principal AI Architect & Data Engineer specializing in GenAI, agentic systems, and MLOps
Mid-level Applied AI Engineer specializing in LLMs, Prompt Engineering, and RAG
Junior Full-Stack Software Engineer specializing in web, mobile, and AI-enabled collaboration tools
Mid-level AI/ML Engineer specializing in cloud AI, MLOps, and NLP
Mid-level Data Engineer specializing in cloud data platforms and real-time pipelines
Junior AI/ML Software Engineer specializing in LLM agents and RAG systems
“AI/back-end engineer at Canon who helped build and operate an internal production LLM platform that acts as a secure middle layer between users and models, defending against jailbreaks/prompt injection while enabling RAG, memory, and grounded responses over company data. Experienced with LangChain/LangGraph orchestration, vector DB retrieval, and reliability practices (testing, monitoring, adversarial prompts) to run high-throughput, low-latency AI workflows in production.”