Added
10 days ago
Type
Full time
Salary
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machine learning ai elasticsearch opensearch vector search
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πŸ“‹ Description

  • Build and operate search infrastructure using technologies such as Elasticsearch, OpenSearch
  • Design configurable, multi-tenant ranking and recommendation systems that serve a central
  • Develop and optimize contextual search and conversational assistants using large language models
  • Build image-to-attribute and image-to-product matching pipelines using image embeddings to support
  • Design reliable user experiences for probabilistic AI systems, incorporating appropriate recovery
  • Define and execute search-specific evaluation strategies, including offline ranking metrics and

🎯 Requirements

  • Approximately 5–10 years of relevant professional experience in AI/ML engineering, search
  • Hands-on experience building or operating information retrieval systems using Elasticsearch
  • End-to-end experience developing ranking and recommendation systems using learning-to-rank
  • Proven ability to manage the complete machine learning lifecycle, from feature development and
  • Production experience building applications with large language models, including prompt
  • Experience designing and optimizing low-latency, real-time model-serving systems for production

🎁 Benefits

  • Competitive annual salary ranging from $200,000 to $280,000.
  • Fully remote, remote-first working environment.
  • Flexible working hours.
  • Unlimited paid time off.
  • Opportunities for professional development, continuous learning, and career growth.
  • Significant ownership and autonomy within a collaborative, high-growth engineering team.
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