Pre-screened and vetted.
Mid-level Data Scientist specializing in machine learning and big data analytics
“Walmart engineer who built and shipped a production LLM+RAG system to automate triage and analysis of computer support chats/tickets, producing grounded, schema-constrained JSON outputs for summaries, urgency, and routing recommendations. Emphasizes reliability (hallucination control, confidence thresholds, human-in-the-loop) and runs end-to-end pipelines with Airflow and AWS-native orchestration, plus rigorous evaluation and monitoring tied to business KPIs.”
Mid-level AI/ML Engineer specializing in GenAI, RAG, and enterprise data platforms
“Built and shipped a production LLM-powered RAG assistant for enterprise internal document search (PDFs, knowledge bases, structured data), addressing real-world issues like noisy documents, hallucinations, and latency with grounded prompting, retrieval-confidence fallbacks, and performance optimizations. Also partnered with compliance and business teams at JPMc to deliver a solution aligned with regulatory constraints, supported by monitoring, feedback loops, and systematic evaluation.”
Intern Software Engineer specializing in AI, computer vision, and full-stack development
“Summer SDE intern at AWS who built and deployed a column-lineage debugging tool for on-call engineers, using AWS Bedrock to parse SQL and generate a column DAG. Integrated the tool into an existing validation system and hardened it against real-world SQL format differences via flexible parsing and testing with queries from multiple upstream teams.”
Mid-level Data Scientist specializing in risk, forecasting, and segmentation across finance and healthcare
“Data/ML engineer with experience across pharma (Dr. Reddy Laboratories) and financial services (Cincinnati Financial, Capital One), building production NLP and entity-resolution systems that connect messy unstructured text with enterprise SQL data. Delivered semantic search with BERT + vector DB and domain fine-tuning (reported ~35% relevance lift), and builds robust pipelines using Airflow/dbt/Spark with strong validation, monitoring, and stakeholder-aligned rollout practices.”
Junior Product & Data Analyst specializing in accessibility, SaaS implementations, and healthcare analytics
“Enterprise SaaS implementation specialist (Sprinklr) who owns complex rollouts end-to-end—configuration, data migration, UAT, global enablement—and drove a 10/10 Customer Happiness Index plus renewal/expansion through strong adoption and analytics automation. Also has product experience from a TikTok PM internship leading an accessibility initiative (Camera AI for screen reader creators) coordinating engineering, design, legal, and QA with WCAG/ADA/EAA compliance considerations.”
Mid-level Data Scientist specializing in GenAI, RAG pipelines, and semantic search
Senior Software Engineer specializing in machine learning and backend microservices
Mid-level Data Scientist specializing in financial risk, fraud detection, and GenAI NLP
Junior Software Engineer specializing in AI testing automation and knowledge graphs
Intern Data Analyst specializing in geospatial ML and business analytics
Mid-level AI/ML Engineer specializing in MLOps, NLP, and predictive modeling
Mid-level Machine Learning Engineer specializing in NLP, recommender systems, and MLOps
Mid-level AI/ML Engineer specializing in recommendations, NLP, computer vision, and MLOps
Junior Data-Centric AI Engineer specializing in scalable ML infrastructure
Junior Machine Learning Engineer specializing in computer vision, LLMs, and geospatial AI
Director-level Engineering Manager specializing in data platforms and AI infrastructure
Mid-level Data Engineer specializing in cloud lakehouse and large-scale ETL pipelines