Senior Solution Architect, Qdrant
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
Be an early applicant
More information about location
21-100 employees
Company mission
Qdrant's mission is to empower businesses to build and deploy semantic neural search on your data in minutes.
Role
Who you are
- Experience: Minimum of 5 years in solution architecture, technical consulting, or a similar role
- Extensive knowledge of database systems
- Experience with search engines like Elasticsearch or Solr
- Proficiency in vector databases and 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
- We are seeking an experienced Senior Solution Architect with a strong background in databases, search engines, and machine learning. 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. This will be invaluable to the company in continuing to innovate and increase their consumer base.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
Company
Funding (last 2 of 3 rounds)
Jan 2024
$26.8m
SERIES A
Apr 2023
$7.8m
SEED
Total funding: $36.7m
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
Articles
Leadership
Andre Zayarni
(CEO)Previously created JobBot-me, and served as CPO and CTO of MoBerries GmbH.
Andrey Vasnetsov
(CTO)Previously worked as a Machine Learning Engineer as Tinkoff.ru, and was Lead Data Scientist at MoBerries.
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