Location: Surat (Gujarat), India
Job Type: Full-Time
Experience Level: 2-5 Years
Salary range: ₹10 LPA to ₹20 LPA
About Us
Welcome to GEMGEM, the premier C2C luxury jewellery marketplace designed exclusively for the U.S. market. We bring trust and elegance together, connecting discerning buyers and sellers of high-value jewellery. Every piece on our platform is backed by 100% authenticity through IGI certification, ensuring safe and secure transactions at every step.
Role Overview
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.
- Work with the product team to define requirements and scope for AI-driven features.
- Clean, process, and manage datasets (images, product metadata, pricing history).
- Use third-party APIs (e.g., OpenAI, AWS Rekognition, Hugging Face) when appropriate to accelerate delivery.
- Integrate AI models into the GEMGEM Laravel + Nuxt 3 platform in collaboration with backend/frontend teams.
- Develop scalable AI code optimized for production environments and collaborate closely with DevOps teams to ensure solutions are performant and reliably deployed at scale.
- Continuously monitor and improve model accuracy, performance, and cost-efficiency.
- 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, and Hugging Face Transformers.
- Exposure to blockchain, smart contracts, or luxury product authentication is a plus.
- Working knowledge of cloud infrastructure (AWS, GCP) and Docker.
- On-site preferred (Surat, India) | 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.
