Pre-screened and vetted.
Mid-level ML Engineer specializing in MLOps, data engineering, and GenAI/RAG systems
Mid-Level Full-Stack Software Engineer specializing in scalable web apps and FinTech systems
Mid-level Software Engineer specializing in AI/GenAI and cloud-native backend systems
Mid-level AI Engineer specializing in NLP, computer vision, and MLOps
Mid-level Data Scientist specializing in Healthcare ML and Generative AI
Mid-level Machine Learning Engineer specializing in MLOps and multimodal AI
Senior Data Scientist and ML Engineer specializing in NLP, LLMs, and AI systems
Mid-level Full-Stack Java Developer specializing in cloud-native web applications
Mid-level AI Engineer specializing in LLM automation and RAG systems
Mid-Level Machine Learning Engineer specializing in LLMs and RAG systems
Junior Machine Learning Engineer specializing in deep learning and healthcare AI
Intern Data Scientist / ML Engineer specializing in predictive modeling and data pipelines
Mid-level Data Analyst specializing in marketing analytics and machine learning
Mid-level Applied AI Engineer specializing in LLM agents and RAG systems
Junior Backend/Full-Stack Software Engineer specializing in distributed systems
Mid AI/ML Engineer specializing in LLMs, MLOps, and FinTech analytics
Mid-level Data Scientist specializing in GenAI, RAG, and predictive modeling
“Backend engineer who built and evolved Python/FastAPI services (including AWS-deployed ML prediction APIs) for real-time profitability and risk insights at TenXengage. Emphasizes pragmatic architecture, strong validation/observability, and secure access controls (RBAC + row-level filtering), and has led safe migrations via parallel runs and incremental rollouts; reports ~20% forecasting accuracy improvement.”