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Machine Learning Engineer

Saxon Global Inc

We're partnering with a client to hire ML Search Engineers who are excited about building a modern, machine learning-driven search platform that powers intelligent product discovery across a large e-commerce ecosystem.


This opportunity sits within a newly formed Search Engineering team, working closely with senior ML leadership and an Innovation organization. You'll help take an existing ML search proof of concept and evolve it into a scalable, production-ready system used across customer-facing and internal platforms.


This is a hands-on engineering role focused on building, operating, and improving ML systems in production - not research-only work.


What You'll Be Doing:

  • Implement ML -driven search components designed by a Search Architect
  • Build and maintain Python-based ML pipelines for embeddings, inference, and relevance
  • Work with vector search and similarity matching to enable intent-based product discovery
  • Support GPU-based workloads for model computation and inference
  • Participate in MLOps workflows, including deployment, monitoring, retraining, and maintenance
  • Refresh and rerun embeddings as product data evolves
  • Collaborate with Architecture, Innovation, and Engineering teams to deliver production ML systems
  • Debug, optimize, and improve search performance, reliability, and relevance
  • Contribute to ongoing enhancements as the search platform grows
What We're Looking For:
  • Strong Python development experience (primary language)
  • Experience building or supporting machine learning pipelines in production
  • Understanding of the ML lifecycle (training, inference, retraining, monitoring)
  • Familiarity with MLOps principles
  • Experience working with large datasets and model outputs
  • Comfortable working hands-on in evolving environments with ambiguous requirements
  • Strong problem-solving and collaboration skills
Preferred Qualifications:
  • Experience with vector databases or similarity search
  • Exposure to embeddings, semantic search, or recommendation systems
  • Experience supporting GPU-based workloads
  • Cloud ML experience (AWS, GCP, or Azure)
  • Background in e-commerce search, discovery, or relevance systems
Why This Opportunity:
  • Work on real-world ML systems used at scale
  • Join a team early as a core contributor to a growing search platform
  • High visibility work with meaningful technical impact
  • Strong collaboration with senior ML and innovation leaders
Vacancy posted 10 hours ago
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