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nlp docker python kubernetes distributed systems๐ Description
- Design, develop, and maintain information retrieval and distributed systems.
- Build and optimize search engines: indexers, analyzers, ranking.
- Work on hybrid search: dense vectors, rank fusion, reranking.
- Maintain scalable search platforms with performance and cost focus.
- Ensure high availability and fault tolerance in search services.
- Collaborate with cross-functional teams to translate business needs.
๐ฏ Requirements
- 3-6 years in information retrieval or distributed systems.
- Strong understanding of search platforms and maintaining engines at scale.
- Deep knowledge of indexers, analyzers, field mapping, and ranking.
- Proficiency in Go and Python 3; Rust or TypeScript a plus.
- Experience with Docker and Kubernetes for deployments.
- Cloud platforms knowledge (GCP preferred; AWS/Azure optional).
๐ Benefits
- Be at the center of AI transformation in business communications.
- Build agentic AI products redefining how companies operate.
- Join a team where AI amplifies every employeeโs impact.
- Competitive salary, benefits, and opportunities for growth.
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