Trademo - Senior AI Engineer

Job Description

About Trademo At Trademo, we are transforming global trade and supply chains by leveraging cutting-edge AI technology to provide businesses with unparalleled visibility, compliance, and intelligence solutions. Our AI-driven platform simplifies the complexities of international trade, helping companies mitigate risks, enhance efficiency, and make data-driven decisions with confidence. Our AI-Enhanced Solutions Trademo Intel AI-powered trade intelligence to uncover market trends and competitive insights. Trademo Sanctions Screener AI-driven compliance with 650+ global sanctions and PEP lists. Trademo Global Trade Compliance Real-time regulatory and tariff data for 140+ countries, with AI workflows for HS/ECN classification, controls determination, and licensing. Trademo Map AI-powered global supply chain mapping and screening, detecting risks like Forced Labor (UFLPA) and sanctions in deep-tier networks. Trademo TradeScreen AI-powered trade transaction digitization, financial crime screening and compliance platform. Trademo collects and integrates diverse open-source data points to create our AI-driven knowledge graph, TrademoKG. These data points include Customs Declarations, Shipping Data, Satellite Data, AIS Data, Vessels, Web Footprints, Global Tariffs & Duties, FTAs, Import/Export Controls, Export Licenses, Key Personnel & Ownership, Company Financials, and Company Legal information. Key Responsibilities Development and deployment of ML and GenAI-powered features across the product. Architect and implement scalable ML pipelines and GenAI integrations. Work closely with product, design, and engineering teams to translate business problems into data/ML solutions. Own model training, validation, and deployment pipelines. Mentor a junior team of junior AI engineers and researchers. Stay updated with the latest in GenAI and ML research, and drive adoption of relevant innovations. Requirements 2- 4 years of experience in ML/Data Science, with at least 1+ year working on GenAI. Strong hands-on experience with LLMs. Solid experience with Python and ML frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, etc.) Deep understanding of NLP, transformers, and deep learning fundamentals. Proven ability to lead end-to-end ML/AI feature development in a startup or product environment. Strong communication and cross-functional collaboration skills. (ref:hirist.tech)