Pre-screened and vetted.
Mid-level Software Engineer specializing in FinTech data pipelines and backend systems
Junior Data & AI Analyst specializing in BI, LLM applications, and analytics
Senior Data Engineer specializing in cloud lakehouse platforms for banking and healthcare
Mid-level Data Engineer specializing in cloud data platforms and BI analytics
Mid-level Data Engineer specializing in cloud lakehouse and streaming analytics for financial services
Mid-level Data Engineer specializing in cloud data pipelines and analytics (AWS/Azure)
Mid-level Data Engineer specializing in cloud ETL, streaming, and ML-ready data pipelines
Mid-level AI/ML Engineer specializing in cloud MLOps, LLM agents, and risk & fraud modeling
Mid-level Data Engineer specializing in big data pipelines and cloud data platforms
Mid-level Business Intelligence Engineer specializing in AI-powered analytics
Senior Data Scientist specializing in ML engineering and cloud analytics
Mid-level AI/ML Engineer specializing in generative AI and cloud ML platforms
Mid-level AI Engineer specializing in LLMs, RAG, and multi-agent systems
Mid-level Software Engineer specializing in AI-driven full-stack systems
Mid-level AI Engineer specializing in machine learning and generative AI
Senior AI/ML Engineer specializing in MLOps and Generative AI (LLMs/RAG)
Mid-level Applied AI Engineer specializing in Generative AI and RAG systems
Mid-level Data Scientist specializing in ML, NLP, and LLM-powered analytics
Mid-level Machine Learning Engineer specializing in NLP and scalable MLOps
“Data/ML engineer in financial services (Northern Trust) who built a production RAG-based LLM system to connect structured transaction/portfolio data with unstructured market and internal documents for risk teams. Strong in end-to-end pipelines (AWS Glue/Airflow/PySpark), entity resolution, and taking models from prototype to reliable daily production with performance tuning (LoRA + TensorRT) and monitoring.”
Mid-level SDET/Software Engineer specializing in test automation and CI/CD
“AAA game QA professional from Ubisoft (For Honor) with deep live-service multiplayer experience. Known for owning network/competitive integrity risks and building a custom network simulation tool to reliably reproduce desync issues, accelerating debugging and saving 100+ hours. Strong end-to-end QA process skills spanning test planning, triage, regression, and release verification using JIRA/TestRail.”
Entry-level Machine Learning Engineer specializing in RAG and NLP systems
“Built a 24/7 Python/LangChain email agent in production with validation, circuit breakers, human-review escalation, and structured observability. Also applied data and automation skills at Community Dreams Foundation, including turning a vague donor-insights request into a usable donor-risk prediction workflow and raising ETL reliability from roughly 85% to 99% by diagnosing SQLite concurrency issues.”