Pre-screened and vetted.
Mid-level Full-Stack Java Developer specializing in microservices and AWS
Senior FP&A Analyst and Data Scientist specializing in ML, automation, and analytics
Senior Generative AI Engineer specializing in RAG, LLM fine-tuning, and AI agents
Mid-level AI/ML Engineer specializing in forecasting, anomaly detection, and enterprise ML pipelines
Mid-level Full-Stack & AI Engineer specializing in Python, cloud, and LLM applications
Intern-level Software/ML Engineer specializing in AI, data science, and full-stack development
Mid-Level Software Engineer specializing in backend and full-stack systems
Mid-Level Software Engineer specializing in full-stack development and LLM/GenAI systems
Mid-level AI/ML Engineer specializing in scalable ML systems and cloud MLOps
Mid-level Transaction Strategy Consultant specializing in supply chain and separation execution
Mid-level DevOps Engineer specializing in multi-cloud Kubernetes and CI/CD automation
Mid-level Data Engineer specializing in cloud data pipelines and analytics platforms
Mid-level Data Scientist specializing in customer analytics, ML pipelines, and churn forecasting
Mid-level AI/ML Engineer specializing in recommender systems, NLP, and MLOps
Mid-level AI/ML Data Engineer specializing in analytics, ML pipelines, and LLM applications
Junior Business Intelligence Engineer specializing in experimentation and causal inference
VP Data Engineer specializing in AI-driven analytics platforms for investment management
Senior Data Scientist specializing in analytics, experimentation, and BI on AWS
“Data/ML practitioner focused on healthcare data quality and record linkage: analyzed 10M+ records, built anomaly detection and NLP-driven entity resolution, and automated AWS ETL/validation pipelines (Glue/Redshift/Lambda), cutting data errors by 40% and generating $500k in annual savings. Has hands-on experience with embeddings (Sentence Transformers/spaCy), FAISS vector search, and fine-tuning for domain-specific matching.”
Intern Software Engineer specializing in FinTech and AI platforms
“Systems-focused engineer who built an OS kernel with multithreading, priority scheduling, system calls, and synchronization primitives, and debugged race conditions end-to-end. While not yet hands-on with ROS/SLAM, they clearly connect low-level concurrency and scheduling decisions to deterministic, reliable robotics-style real-time workloads.”
Junior Machine Learning Engineer specializing in data pipelines and applied AI
“Built a production AI agent for phishing fraud detection using n8n orchestration, Claude (Sonnet 4/MCP), VirusTotal, and JavaScript formatting to generate and deliver email-based reports via Gmail. Has experience evaluating detection accuracy against known examples, iterating via feedback, and presenting AI solutions to non-technical teams.”