Pre-screened and vetted in the Atlanta Metro.
Mid-level AI/ML Engineer specializing in LLMs, RAG pipelines, and MLOps
“Data professional with ~4 years of experience, most recently at AIG (insurance), building ML/NLP systems for fraud detection and policy automation using transformers, CNNs, and clustering/anomaly detection. Also developed a RAG-based knowledge retrieval system, iterating across embedding models and moving to production based on precision and latency SLAs, then containerizing and deploying with SageMaker and CI/CD.”
Mid-level AI/ML Engineer specializing in fraud detection and scalable ML platforms
Mid-level AI/ML Engineer specializing in LLMs, RAG pipelines, and MLOps
Senior AI/ML Engineer specializing in GenAI, LLM RAG systems, and MLOps
Mid-level AI/ML Python Engineer specializing in full-stack ML applications
Mid-level AI/ML Engineer specializing in production ML, NLP, and fraud detection
Mid-level AI Engineer specializing in ML, NLP, and Generative AI
“AI/LLM engineer with production experience building an LLM-powered investment recommendation system using RAG and chatbots, deployed via Docker/CI/CD and scaled on Kubernetes. Demonstrated measurable performance wins (sub-200ms latency) through QLoRA fine-tuning and TensorRT INT8/INT4 quantization, plus strong MLOps/orchestration background (Airflow ETL + scoring, MLflow monitoring) and stakeholder-facing delivery using demos and Tableau dashboards.”
Mid-level Autonomy Engineer specializing in drone robotics and LiDAR SLAM
“Autonomy Engineer at Joulea Inc (Atlanta) with ~3 years building a drone autonomy stack end-to-end, spanning controls, swarm path planning, SLAM/LIO, and multi-sensor fusion (lidar/IMU/GPS RTK/camera). Notable work includes lidar degeneracy detection using Hessian-based constraints in an EKF and fusing visual odometry to reduce drift, plus ongoing lidar-camera synchronization and calibration.”
Mid-level AI Engineer specializing in ML, LLM applications, and data automation
“Data/ML practitioner who has built a production RAG-based knowledge assistant integrated into Microsoft 365/internal dashboards to help employees query internal documents in plain English. Experienced orchestrating and hardening ETL pipelines with Airflow and Azure Data Factory (validation, retries, monitoring) and running end-to-end model evaluation and production performance tracking via Power BI.”
Mid-level Full-Stack/AI Engineer specializing in LLM microservices, RAG, and data pipelines