.png){kind=logo}
Vetted spaCy Professionals
Pre-screened and vetted.
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
Mid-level AI/ML Engineer specializing in LLM fine-tuning, NLP, and MLOps
Mid-level Full-Stack Software Engineer specializing in AI-enabled FinTech and compliance platforms
Director of Data Science specializing in ML, NLP/LLMs, and MLOps
Senior AI/ML Engineer specializing in healthcare AI, LLMs, and MLOps
Mid-level AI/ML Engineer specializing in NLP, LLMs, and MLOps in Financial Services
Senior AI/ML Data Scientist specializing in cloud-deployed NLP, CV, and MLOps
Senior Python/ML Engineer specializing in LLM-powered backend systems
Mid-level AI/ML Engineer specializing in scalable ML systems and cloud MLOps
Mid-level Machine Learning Engineer specializing in NLP, LLMs, and MLOps
Mid-level Data Scientist / GenAI Engineer specializing in LLMs, RAG, and MLOps
Mid-level AI/ML Engineer specializing in recommender systems, NLP, and MLOps
Mid-level Software Engineer specializing in event-driven backend and on-device ML for robotics
Mid-Level Full-Stack Software Engineer specializing in cloud microservices and LLM/RAG systems
Mid-level AI/ML Engineer specializing in NLP, RAG, and agentic AI
Mid-level AI Data Scientist specializing in financial risk, fraud detection, and NLP/LLM systems
Senior Machine Learning Engineer specializing in NLP, Generative AI, and healthcare/legal AI
JYOTHI N
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.”