Qdrant
Qdrant is a leading open-source vector database and similarity search engine designed for high-dimensional data, enabling advanced AI applications. It offers products such as Qdrant Cloud and hybrid deployment options, providing powerful capabilities for recommendation systems, data analysis, and anomaly detection. Built with a focus on performance and scalability, Qdrant is engineered in Rust to deliver speed and reliability, catering to the needs of developers and enterprises looking to integrate vector similarity searches into their applications.
Deep Tech • Search Engine • Open-Source • Vector Search • Rust
51 - 200 employees
Founded 2021
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
💰 $28M Series A on 2024-01
Search Solutions Architect - Americas
April 1
Qdrant
Qdrant is a leading open-source vector database and similarity search engine designed for high-dimensional data, enabling advanced AI applications. It offers products such as Qdrant Cloud and hybrid deployment options, providing powerful capabilities for recommendation systems, data analysis, and anomaly detection. Built with a focus on performance and scalability, Qdrant is engineered in Rust to deliver speed and reliability, catering to the needs of developers and enterprises looking to integrate vector similarity searches into their applications.
Deep Tech • Search Engine • Open-Source • Vector Search • Rust
51 - 200 employees
Founded 2021
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
💰 $28M Series A on 2024-01
📋 Description
• We are seeking an experienced Solution Architect with a strong background in databases, search engines, and machine learning. • Collaborate closely with our clients to design and implement innovative solutions. • Serve as a technical expert and trusted advisor, guiding clients through the adoption and integration of our products.
🎯 Requirements
• Extensive knowledge of database systems and search engines. • Understanding of vector search concepts. • Strong programming skills in languages in Python. • Familiarity with machine learning frameworks. • Experience with cloud platforms and containerization (Docker, Kubernetes). • Open-Source Contribution: Experience contributing to open-source projects. • Industry Experience: Background in AI-powered applications like recommendation systems, NLP, or computer vision. • Distributed Systems Knowledge: Understanding of distributed computing and microservices architecture.
🏖️ Benefits
• Remote-first company culture. • Opportunity to work with cutting-edge open-source technology. • Competitive salary and comprehensive benefits package. • Collaborative and dynamic work environment. • Opportunities for career growth and advancement. • A chance to be part of a rapidly growing company at the forefront of the search revolution.
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