Pre-screened and vetted.
Mid-Level Software Engineer specializing in FinTech microservices and fraud detection
Mid-Level Software Engineer specializing in cloud-native microservices and FinTech
Senior Computer Vision Engineer specializing in medical imaging and MLOps
Mid-Level Software Engineer specializing in full-stack and AI-enabled backend systems
Mid-level AI/ML Engineer specializing in cloud ML, real-time pipelines, and graph neural networks
Mid-level Data Scientist & AI/ML Engineer specializing in GenAI and LLM-driven enterprise systems
Mid-level AI/ML Engineer specializing in MLOps, NLP/CV, and fraud detection
Mid-level Data Scientist specializing in ML, NLP, and cloud deployment
Senior AI/ML Engineer specializing in LLMs, NLP, and production MLOps
Junior Data Scientist / ML Engineer specializing in applied ML, data pipelines, and full-stack systems
Senior Data Scientist specializing in NLP, MLOps, and cloud ML platforms
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.”
Mid-level AI/ML Engineer specializing in Generative AI, RAG, and NLP
“Backend engineer who built and migrated a large-scale document intelligence platform used by legal, healthcare, and insurance clients, processing millions of pages. Experienced moving from a monolithic, LLM-heavy approach to a modular FastAPI service architecture with ML classification + RAG, strong validation/auditability, and enterprise security (JWT/OAuth, RBAC, PostgreSQL RLS) with zero-downtime incremental rollouts.”
Mid-level GenAI/ML Engineer specializing in agentic AI and RAG systems
“Backend/platform engineer who has owned a Python/FastAPI results API and deployed it on Kubernetes with Helm and GitHub Actions-driven CI/CD. Demonstrates strong production operations mindset across performance tuning, monitoring, safe rollouts/rollbacks, and phased migrations, plus hands-on Kafka streaming experience focused on ordering and idempotency.”