Pre-screened and vetted in New Jersey.
Intern Data Scientist specializing in machine learning and trustworthy AI
Mid-level Data Scientist / ML Engineer specializing in NLP, recommender systems, and insurance analytics
Senior Data Scientist specializing in LLM products, voice agents, and FinTech risk modeling
Mid-level Data Scientist specializing in financial risk, fraud detection, and GenAI NLP
Mid-level Data Scientist specializing in LLMs, MLOps, and predictive analytics in healthcare and finance
“Built and deployed a production LLM/RAG clinical decision support system that enables real-time semantic search over unstructured EHR notes and delivers patient risk insights. Strong in healthcare-grade MLOps and compliance (HIPAA, PHI handling, encryption, RBAC, audit logs) and scaled embedding/retrieval pipelines using Spark/Databricks and Airflow. Partnered with clinicians via Power BI dashboards and explainability, contributing to an 18% reduction in patient readmissions.”
Mid-level Data Analyst specializing in healthcare and financial risk analytics
Junior Data Engineer specializing in NLP, LLMs, and ETL pipelines
Junior Product & Business Analyst specializing in analytics, dashboards, and go-to-market strategy
Mid-level GenAI/Data Engineer specializing in LLM agents and RAG systems
Principal/Lead Data Engineer specializing in large-scale pipelines, NLP, and graph databases
Junior Data Scientist specializing in analytics automation and BI dashboards
Mid-level Data Analyst specializing in healthcare and finance analytics
“Built an end-to-end Alexa smart-home IoT application controlling a Wi-Fi bulb, including ESP32 firmware (MQTT) and an AWS serverless backend (IoT Core/Device Shadow, Lambda, DynamoDB) with a REST API. Demonstrates strong real-time scalability patterns (streaming ingestion, stateless processing, partition-key design) and full-stack delivery with Spring Boot + React (JWT auth, CORS, data-heavy dashboards).”
Mid-level Data Scientist / ML Engineer specializing in secure GenAI and financial compliance
“Built a production "sentinel insight engine" to tame information overload from millions of product reviews and support transcripts, combining Azure OpenAI (GPT-3.5) zero-shot classification with a fine-tuned T5 summarizer to generate weekly actionable product insights. Demonstrated strong MLOps/production engineering by adding drift monitoring with embedding-based detection, integrating REST with legacy SOAP/queue-based CRM via FastAPI middleware, and scaling reliably on Kubernetes with HPA.”
Senior Data Scientist specializing in NLP, Computer Vision, and Generative AI
Mid-level Data Engineer specializing in financial data pipelines on AWS and Databricks
Mid-level Azure Data Engineer specializing in Databricks lakehouse and Spark pipelines
Mid-level Data Scientist & AI/ML Engineer specializing in secure ML and GenAI for finance
Mid-level Data Scientist specializing in AI/ML and Generative AI
Mid-level Data Scientist / AI/ML Engineer specializing in secure cloud ML and GenAI
Mid-level Data Engineer specializing in cloud ETL, big data, and analytics
Senior Data Scientist specializing in AWS ML solutions for healthcare, telecom, and e-commerce