AI/ML Engineer

Saxon Global • Atlanta, GA

19h

About The Position

The AI/ML Engineer will be responsible for building, maintaining, and operating Python-based ML pipelines for embeddings, inference, and relevance ranking. This role involves developing and supporting vector search and similarity matching to enable intent-based product discovery, and supporting GPU-based workloads for model training, computation, and inference. The engineer will participate in end-to-end MLOps workflows, including deployment, monitoring, retraining, and system maintenance. Additionally, they will manage and refresh embeddings as product data and catalogs evolve, and collaborate closely with Innovation, Architecture, and Engineering teams to deliver scalable ML systems. Key responsibilities also include debugging, optimizing, and improving the performance, reliability, and relevance of search pipelines, and contributing to ongoing platform enhancements as the search ecosystem matures.

Requirements

• 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

Responsibilities

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed