Senior AI Engineer
2 weeks ago
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.
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