Pre-screened and vetted.
Mid-level AI Engineer and Data Analyst specializing in ML, NLP, and financial forecasting
Mid-level Data Scientist / Machine Learning Engineer specializing in NLP, computer vision, and cloud ML
Junior Software Developer specializing in data-driven insurance and analytics
Mid-level AI Engineer specializing in agentic GenAI and cloud MLOps
Mid-level Machine Learning Engineer specializing in multimodal AI and anomaly detection
Mid-level Data Scientist specializing in AI/ML for financial services and retail analytics
Junior AI/Machine Learning Engineer specializing in healthcare applications
Senior AI/ML Engineer specializing in LLM applications, RAG, and MLOps
Junior AI Engineer specializing in NLP, computer vision, and MLOps
Senior Data Science & Machine Learning Engineer specializing in credit risk and predictive analytics
Mid-level AI/ML Engineer specializing in NLP, MLOps, and scalable ML platforms
Mid-level Data Analyst specializing in predictive analytics and BI for financial services
Staff-level AI/ML Engineer specializing in enterprise RAG, agentic automation, and AI governance
Junior Research Data Scientist specializing in healthcare analytics and real-world evidence
Mid-Level Software Engineer specializing in cloud-native microservices and Healthcare IT
Mid-level AI/ML Engineer specializing in GenAI, computer vision, and real-time ML pipelines
Mid-level Data Engineer specializing in cloud data platforms and FinTech analytics
Mid-Level Software Engineer specializing in distributed systems and GenAI
“Capgemini engineer with 4+ years building and deploying high-availability, low-latency fraud detection APIs and multi-cluster distributed systems for a Fortune 20 bank, including zero-downtime production rollouts and multi-layer (SQL/network/hardware) performance debugging. Also built a Python + OpenAI/LangChain LLM-powered grading workflow for Austin School for Women, cutting feedback time from 90 minutes to 5 minutes per submission for 200+ learners.”