Pre-screened and vetted in Virginia.
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.”
Mid-level Data Scientist specializing in machine learning, analytics, and cloud data pipelines
Mid-level QA Engineer specializing in manual, regression, and API testing across web and mobile
Senior Software Engineer specializing in Python, AWS, and cloud-native backend systems
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.”