Pre-screened and vetted.
Mid-level AI/ML Engineer specializing in MLOps, NLP/CV, and fraud detection
Mid-Level Generative AI Engineer specializing in LLM apps, RAG, and cloud deployment
Mid-level Data Scientist specializing in ML, NLP, and cloud deployment
Mid-level Data Scientist / ML Engineer specializing in NLP, GenAI, and cloud ML deployment
Junior Full-Stack & ML Engineer specializing in AI products and real-time systems
Mid-level Data Analyst specializing in healthcare and financial analytics
Senior Power BI Developer specializing in healthcare and financial analytics
Senior Data Scientist and AI Engineer specializing in NLP, LLMs, and MLOps
Mid-level Salesforce Developer specializing in enterprise CRM and integrations
Intern Full-Stack Software Engineer specializing in web apps, cloud, and game development
Senior Full-Stack AI Engineer specializing in AI products and developer platforms
Intern Software Engineer specializing in full-stack and computer vision
Intern Data Scientist specializing in machine learning and predictive modeling
Senior AI Python Engineer specializing in Generative AI and MLOps
Senior Geospatial Software Engineer specializing in 3D simulation environments
“Geospatial/simulation specialist who built and shipped high-fidelity 3D visual databases for a DoD-used simulation/render engine, owning the full pipeline from dataset selection and ingestion (imagery/LiDAR/OSM/elevation) through performance testing and delivery. Implemented Python-based AI scripts to auto-detect terrain features and drive automated 3D scene population, and has experience with authoritative client-server synchronization (DIS) plus VR headset performance constraints (Varjo/Oculus/HoloLens at 90Hz).”
Mid-level AI/ML Engineer specializing in healthcare, risk modeling, and MLOps
“Robotics software engineer who built a ROS Noetic-based perception-to-control stack for a pick-and-place robotic arm, integrating OpenCV/TensorFlow vision with motion planning and PID tuning. Demonstrated strong real-time debugging skills (rosbag, queue/latency fixes) and experience deploying reproducible robotics environments with Gazebo simulation, Docker, and GitLab CI.”