Search Solutions Architect, Qdrant

Americas

Salary not provided

Docker

Kubernetes

Python

Senior and Expert level

Remote from US

More information about location

Open-source vector search engine for AI

Be an early applicant

Open-source vector search engine for AI

21-100 employees

B2BArtificial IntelligenceDeep TechMachine LearningAPI

Be an early applicant

Salary not provided

Docker

Kubernetes

Python

Senior and Expert level

Remote from US

More information about location

21-100 employees

B2BArtificial IntelligenceDeep TechMachine LearningAPI

Company mission

Qdrant's mission is to empower businesses to build and deploy semantic neural search on your data in minutes.

Job

Company

Role

Who you are

We are seeking an experienced Solution Architect with a strong background in databases, search engines, and machine learning
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)

Desirable

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

What the job involves

In this pivotal role, you will collaborate closely with our clients to design and implement innovative solutions leveraging Qdrant's vector database technologies
You will serve as a technical expert and trusted advisor, guiding clients through the adoption and integration of our products to ensure their success
Client Collaboration: Engage with clients to understand their technical requirements and business objectives
Solution Design: Architect scalable and efficient solutions utilizing Qdrant's vector database and cloud offerings
Technical Expertise: Provide in-depth guidance on best practices for integrating Qdrant's products into existing systems
Pre-Sales Support: Assist the sales team with technical presentations, demonstrations, and proof-of-concept projects
Workshops & Training: Lead technical workshops and training sessions for clients and partners
Cross-Functional Liaison: Act as a bridge between clients and internal teams, including engineering and product development
Feedback Contribution: Relay client feedback to influence product enhancements and roadmap
Industry Insight: Stay updated on the latest trends in vector search, machine learning, and database technologies

Our take

In many cases, documents may have too few keywords, or queries might be too large for the usual full-text search to provide the desired result. In such cases, the search either finds no intersections or returns a lot of irrelevant results. Qdrant is setting out to solve this problem with a neural network-based semantic search which can be used stand-alone or in conjunction with traditional search.

Qdrant utilizes applied AI and metric learning to provide users with an open-source neural search engine. This engine has proven popular with businesses looking to turn their unstructured data into an asset. The possible applications of this technology greatly vary, from product recommendations in e-commerce to image recognition and analysis of anomalies.

The trust and capital that leading investors have placed in Qdrant will allow it to develop and scale its technology further, with a focus on enterprise solutions and expanding its business team. This will be invaluable to the company as it continues to innovate and increase its consumer base.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

Glassdoor (3.1)

Company

Funding (last 2 of 3 rounds)

Jan 2024

$29.3m

SERIES A

Apr 2023

$8.6m

SEED

Total funding: $40.2m

Company benefits

Working in a passionate international team
Flexible working hours
Company events
Choose any hardware
Remote/home office possible
Relocation and visa support (EU Blue Card)
A collaborative and supportive work environment with opportunities for growth and advancement
The chance to make a significant impact on an innovative technology with the potential to reshape industries

Company HQ

Prenzlauer Berg, Berlin, BE

Leadership

Andre Zayarni

(CEO & Co-Founder)

Previously created JobBot-me, and served as CPO and CTO of MoBerries GmbH.

Andrey Vasnetsov

(CTO & Co-Founder)

Previously worked as a Machine Learning Engineer as Tinkoff.ru, and was Lead Data Scientist at MoBerries.

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