Pre-screened and vetted.
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and scalable GPU inference
Mid-Level Full-Stack Software Engineer specializing in Python/Java microservices and cloud
Principal Data Scientist specializing in ML, NLP, and forecasting for marketing and supply chain
Principal Machine Learning Scientist specializing in GenAI, LLMs, and RAG
Senior Python Developer specializing in AI/ML and cloud-native microservices
Senior QA Automation Engineer specializing in web, mobile, and API testing
Senior QA Automation Engineer specializing in web, mobile, and hardware testing
Senior Software Engineer specializing in cloud-native microservices and observability
Mid-level Machine Learning Engineer specializing in generative AI, NLP, and MLOps
Junior Machine Learning Engineer specializing in computer vision, reinforcement learning, and PINNs
“ML/Simulation engineer who productionized a Multi-Agent Reinforcement Learning system for 30+ firms at Belt and Road Big Data Company, integrating research code into an enterprise backend via Dockerized deployment and scalable data pipelines on GCP/Vertex AI. Demonstrated strong production debugging by tracing apparent network timeouts to hardware memory exhaustion caused by software state-history garbage collection issues, and built custom reward functions to model complex market dynamics (entry/exit, pricing).”
Intern Machine Learning Engineer specializing in LLM reasoning, agents, and deployment
“AWS AI Lab engineer who deployed a production Chain-of-Thought analytical agent for tabular reasoning, emphasizing grounded tool-constrained workflows with schema-validated intermediate outputs. Built robust evaluation/logging with step-level observability to catch regressions across model versions, and has experience scaling distributed LLM training via Slurm + DeepSpeed/FSDP with checkpointing and failure recovery.”
Senior AI/ML Engineer specializing in Generative AI, NLP, and RAG systems
“ML/NLP engineer focused on production-grade data and search/recommendation systems: built an end-to-end pipeline that connects unstructured customer feedback with product data using TF-IDF/BERT, Spark, and AWS (SageMaker/S3), orchestrated with Airflow and monitored for drift. Also has hands-on experience with entity resolution at scale and improving search relevance via BERT embeddings, FAISS vector search, and domain fine-tuning validated with precision@k and A/B testing.”
Senior Software Engineer specializing in AWS-based distributed systems and FinTech platforms
“Backend engineer with Amazon experience building large-scale, automated financial/accounting and pricing systems on AWS. Designed a fault-tolerant Step Functions + DynamoDB workflow platform handling 100K+ messages/sec to compute fair values and generate journal entries in under 3 seconds, and led safe API refactors using shadow mismatch testing. Also uncovered a major legacy pricing bug (tax vs non-tax swap) that cut mismatch rates from 5–10% to ~0.5% and materially improved price acceptance/business outcomes.”
Executive Unity/XR Engineer specializing in real-time mocap and volumetric streaming
“Technical Director/Unity Lead who has shipped multiple Meta Quest immersive experiences and built custom Unity editor tooling to solve content-heavy pipeline constraints, enabling artists to push content directly into a Unity sandbox. Also prototyped a Unity restaurant simulation where an LLM drives NPC reasoning and state machines, using RAG and memory augmentation to reduce hallucinations and stuck behaviors.”
Mid-level AI/ML Engineer specializing in NLP, computer vision, and MLOps
Senior QA Engineer specializing in mobile, API, and test automation
Mid-level Full-Stack/Backend Software Engineer specializing in distributed systems and cloud
Mid-level Generative AI & Machine Learning Engineer specializing in LLMs and RAG