Trademo - Lead Machine Learning Engineer - Generative AI

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.

By analyzing trade data from 200+ countries, Trademo uses AI to provide deep insights, ensuring visibility and compliance across global supply chains.

Founded by Shalabh Singhal, who is a third-time tech entrepreneur and an alumni of IIT BHU, CFA Institute USA, and Stanford GSB SEED.

Our Trademo is backed by a remarkable team of leaders and entrepreneurs like Amit Singhal (Former Head of Search at Google), Sridhar Ramaswamy (CEO, Snowflake), Neeraj Arora (MD, General Catalyst & Former CBO, Whatsapp Group.

Key Responsibilities

• Lead the 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.
• Guide and mentor a small team of AI engineers and researchers.
• Stay updated with the latest in GenAI and ML research, and drive adoption of relevant innovations.
  
  

Requirements

• 5+ years of experience in ML/Data Science, with at least 2+ years 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)