Applied AI Engineer

About GEMGEM

GEMGEM is building the world’s most trusted C2C marketplace for luxury jewelry — where technology and transparency redefine how fine jewelry is bought and sold. We are an AI-first company, leveraging artificial intelligence to solve real-world challenges in pricing, authentication, risk prevention, and buyer-seller matching.

Unlike traditional resale platforms, GEMGEM manages every step of the transaction — from IGI-certified authentication to refurbishment and secure fulfillment — making it effortless and trustworthy for both buyers and sellers. We’re backed by over USD $1.5M in development funding and already active in the US market.

With offices in Hong Kong, India, and the US, and a growing engineering team, we are scaling fast. If you want to build AI that drives meaningful business impact — not just demos — GEMGEM offers the ideal environment to create, ship, and lead.

We are looking for a talented Applied AI Engineer to join our growing team and take ownership of building and deploying AI/ML features across our platform. You will work closely with product, backend, and frontend teams to implement AI-driven solutions that improve user experience, automate internal processes, and drive platform growth.

This role is ideal for a hands-on engineer with experience turning AI models into real, scalable product features.

1. Develop and deploy production-ready AI/ML models for:

• Jewelry image classification and tagging
• Price recommendation and valuation
• Similarity search and duplicate detection
• Fraud risk scoring and anomaly detection

1. Work with the product team to define requirements and scope for AI-driven features.
2. Clean, process, and manage datasets (images, product metadata, pricing history).
3. Use third-party APIs (e.g., OpenAI, AWS Rekognition, Hugging Face) when appropriate to accelerate delivery.
4. Integrate AI models into the GEMGEM Laravel + Nuxt 3 platform in collaboration with backend/frontend teams.
5. Develop scalable AI code optimized for production environments and collaborate closely with DevOps teams to ensure solutions are performant and reliably deployed at scale.
6. Continuously monitor and improve model accuracy, performance, and cost-efficiency.
7. Maintain documentation, version control, and reproducibility of model experiments.

• Bachelor's or Master’s degree in Computer Science, AI, Data Science, or related field.
• 2–5 years of hands-on experience in applied machine learning or computer vision.
• Proficiency in Python and ML frameworks like TensorFlow, PyTorch, or scikit-learn.
• Strong understanding of model development, evaluation metrics, and deployment practices.
• Experience deploying models in production systems, not just research or offline analysis.
• Knowledge of API integration and basic data engineering concepts.

• Experience in e-commerce, C2C platforms, or image-heavy applications.
• Familiarity with tools like LangChain, OpenAI APIs, Hugging Face Transformers.
• Exposure to blockchain, smart contracts, or luxury product authentication a plus.
• Working knowledge of cloud infrastructure (AWS, GCP) and Docker.

• Remote work flexibility available for highly self-motivated, proven talent.
• Competitive compensation based on location and experience.
• Work with a global team of developers, designers, marketers, and operations staff.
• Be part of building something meaningful and globally scalable from the ground up.