Pre-screened and vetted.
Junior Software Engineer specializing in computer vision and real-time web apps
Mid-level Machine Learning Engineer specializing in NLP, Computer Vision, and LLMs
Intern Full-Stack Software Developer specializing in healthcare 3D visualization
Junior ML & Analytics Software Engineer specializing in predictive modeling and NLP
Mid-level Machine Learning & GenAI Engineer specializing in RAG and multimodal AI systems
Mid-Level Full-Stack Engineer specializing in customer solutions and AI/ML-enabled products
Mid-level Machine Learning Engineer specializing in multimodal GenAI and RAG systems
Mid-level AI & Data Engineer specializing in cloud ML, RAG systems, and ETL automation
Mid-level Generative AI/ML Engineer specializing in LLMs, RAG, and MLOps
Mid-level Data Analyst specializing in BI, analytics, and data engineering
Mid-Level Full-Stack Software Engineer specializing in Java/Spring and AWS serverless
Mid-level Data Scientist / GenAI Engineer specializing in LLM agents, RAG, and OCR
Mid-level financial and data analyst specializing in underwriting and business analytics
Junior Software Engineer specializing in backend, cloud, and full-stack web development
Mid-level AI/ML Engineer specializing in risk modeling, healthcare analytics, and MLOps
Intern Data Scientist and GenAI Software Engineering specializing in ML and LLM evaluation
Entry-Level AI Engineer specializing in NLP and LLM-powered applications
“AI engineer who built an agentic, production-deployed LLM workflow for tobacco violation parsing and automated multi-case creation, using six specialized agents and a human-in-the-loop confidence-threshold routing design. Addressed data privacy constraints by generating synthetic datasets with LLM prompting, and orchestrated reproducible end-to-end pipelines in LangChain with robust testing and evaluation (precision/recall, micro-F1).”
Mid-level Data Scientist specializing in Python, ML, and BI dashboards
“Data/NLP practitioner who builds production-oriented pipelines for unstructured text: entity extraction, topic modeling (LDA/BERTopic), and semantic search using Sentence-BERT embeddings with FAISS. Emphasizes rigorous evaluation (coherence/silhouette + manual review), entity resolution with validation, and scalable workflow orchestration using Airflow/Prefect with Spark/Dask.”