AI/ML Engineer
Saxon Global Inc
- Build, maintain, and operate Python based ML pipelines for embeddings, inference, and relevance ranking
- Develop and support vector search and similarity matching to enable intent based product discovery
- Support GPU based workloads for model training, computation, and inference
- Participate in end to end MLOps workflows, including deployment, monitoring, retraining, and system maintenance
- Manage and refresh embeddings as product data and catalogs evolve over time
- Collaborate closely with Innovation, Architecture, and Engineering teams to deliver scalable ML systems
- Debug, optimize, and improve the performance, reliability, and relevance of search pipelines
- Contribute to ongoing platform enhancements as the search ecosystem matures
- Strong Python development experience (primary language)
- Experience building, deploying, or supporting machine learning pipelines in production
- Solid understanding of the ML lifecycle, including training, inference, retraining, and monitoring
- Familiarity with MLOps principles and production ML systems
- Experience working with large datasets and model outputs
- Ability to work hands on in evolving systems with ambiguous or rapidly changing requirements Saxon Global
Vacancy posted 3 days ago
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