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Senior Machine Learning Serving Engineer (Go)
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AI Summary
Build production-grade search, ranking, and recommendation systems for Nivoda’s global jewellery marketplace. Develop embedding-based retrieval, conversational search, and image-based product discovery. Own full ML lifecycle from feature engineering to deployment and monitoring.
Key Responsibilities
Develop production-grade search, ranking, and recommendation systems using Elasticsearch, OpenSearch, and vector-search technologies.
Build and optimize multi-modal AI systems, including conversational search and image-based product discovery pipelines.
Own the full lifecycle of ML models, from feature development and training to deployment, monitoring, and evaluation.
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Benefits & Perks
Flexible working hours
Remote-first work culture
Unlimited holiday allowance
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Nice to Have
Experience with computer vision and image embeddings.
Background in designing multi-tenant, configurable systems.
Experience in search, ranking, or recommendation systems at marketplace/e-commerce companies.
Job Description
Nivoda is a digital marketplace and operating platform for the global jewellery industry, connecting diamond and gemstone suppliers directly with jewellery retailers across more than 70 countries. The company is expanding its technology and AI capabilities.
About the Role
Nivoda is seeking a Senior AI/ML Engineer to join its Discovery Pod, the team responsible for developing the search, ranking, and recommendation systems that help buyers find diamonds and gemstones across its marketplace.
Key Responsibilities
Core Search and Ranking Systems:
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