Applied AI Engineer

As an Applied AI Engineer at GEMGEM, you will be responsible for building and deploying AI/ML features that enhance user experience, automate internal processes, and drive platform growth. You will collaborate closely with product, backend, and frontend teams to implement AI-driven solutions. Here is a breakdown of the key responsibilities and qualifications required for this role: Key Responsibilities: - 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 - Define requirements and scope for AI-driven features in collaboration with the product team. - Clean, process, and manage datasets including images, product metadata, and pricing history. - Utilize third-party APIs such as OpenAI, AWS Rekognition, and Hugging Face to accelerate delivery. - Integrate AI models into the GEMGEM Laravel + Nuxt 3 platform with backend/frontend teams. - Develop scalable AI code optimized for production environments and ensure reliable deployment at scale. - Continuously monitor and enhance model accuracy, performance, and cost-efficiency. - Maintain documentation, version control, and reproducibility of model experiments. Required Skills & Qualifications: - Bachelor's or Masters 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 such as TensorFlow, PyTorch, or scikit-learn. - Strong understanding of model development, evaluation metrics, and deployment practices. - Experience deploying models in production systems. - Knowledge of API integration and basic data engineering concepts. Preferred Qualifications: - 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. - Working knowledge of cloud infrastructure (AWS, GCP) and Docker. In addition to the above, GEMGEM offers a remote work environment for highly self-motivated individuals, competitive compensation, and the opportunity to work with a global team across various functions. Join us in building something meaningful and globally scalable from the ground up.,