Pre-screened and vetted.
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
“Built and shipped a production real-time content moderation platform for Zoom/WebEx-style meetings, combining Whisper speech-to-text with fast NLP classifiers and REST APIs to flag hate speech, bias, and HIPAA-related content under strict latency constraints. Demonstrates strong MLOps/infra depth (Airflow, Kubernetes, Terraform/Helm, observability) and a pragmatic approach to reducing false positives via threshold tuning, context validation, and hard-negative data—while partnering closely with compliance and product stakeholders.”
Intern Data Scientist specializing in machine learning and NLP
“Analytics-focused early-career candidate with internship experience owning reporting and system performance analysis projects end to end. They combine SQL data preparation, Python automation, and dashboard delivery with measurable impact, including roughly 50% less manual reporting and about 20% better forecast accuracy.”
Mid-level Data Engineer specializing in FinTech data platforms
“Backend-focused engineer with experience at Ramp, Easebuzz, and George Mason University, spanning data pipelines, workflow automation, and production reliability. Stands out for quantifiable performance gains, strong debugging instincts in distributed job systems, and translating ambiguous finance operations processes into measurable automation outcomes.”
Mid-level Data Scientist specializing in NLP, recommender systems, and ML deployment
“At Provenbase, built and shipped a production LLM-powered semantic search and candidate matching platform (RAG with GPT-4/Gemini, multi-agent orchestration, Elasticsearch vector search) to scale sourcing across 10M+ candidate records and 1000+ data sources. Drove sub-second performance, cut LLM spend 30% with routing/caching, and improved recruiting outcomes (+45% sourcing accuracy; +38% visibility of underrepresented talent) through bias-aware ranking and tight collaboration with recruiting stakeholders.”
Executive software architect specializing in AI, Azure, and enterprise platforms
“Founder of NeuroCoreTech, an AI startup that has generated about $70K in under a year while building products including an interactive story platform, spam detection, and custom AI solutions. Brings startup experience dating back to 2009, exposure to $130M+ in fundraising, and a US patent, with a clear focus on revenue-first, privacy-conscious AI for PII/HIPAA-sensitive customers.”
Junior AI Engineer specializing in LLM agents and computer vision
Junior NLP/ML Engineer specializing in LLMs and retrieval-augmented generation
Mid-Level Full-Stack Software Engineer specializing in Java, Angular/React, and cloud-native microservices
Senior R&D Engineer specializing in AI-driven hardware security verification
Mid-level Machine Learning Engineer specializing in NLP, MLOps, and predictive risk modeling
Mid-level AI/ML Engineer specializing in LLM systems, MLOps, and real-time fraud detection
Senior Machine Learning Engineer specializing in NLP, computer vision, and LLMs
Mid-level AI/ML Engineer specializing in LLMs, RAG, and cloud AI infrastructure
Junior AI/Software Engineer specializing in voice AI and semantic search
Executive engineering leader specializing in AI-native products and enterprise architecture
Mid-level Full-Stack Software Engineer specializing in SaaS, AI/ML, and IoT
Mid-level AI/ML Engineer specializing in LLM, RAG, and semantic search systems
Mid-level AI/ML Engineer specializing in MLOps, LLMs, and computer vision