We’re seeking an experienced developer or team to build a scalable, low-latency vector database and service platform for AI and machine learning applications, similar to Pinecone.

Project Scope:

– Design and implement a high-performance vector database system capable of:
  – Fast similarity searches among high-dimensional vectors
  – Real-time data indexing and updating
  – Scalable and distributed architecture
  – Low-latency querying (aiming for ~50ms query latency at p95)
– Develop a user-friendly API and SDKs (Python, Java, Go, etc.)
– Implement robust security features, including encryption and access controls
– Create a serverless architecture for easy scaling and management
– Integrate metadata filtering and hybrid search capabilities
– Optimize for high recall rates (aiming for ~96% recall)
– Implement real-time updates to maintain data freshness
– Develop basic documentation and quickstart guides

**Technical Requirements:**

– Deep knowledge of vector databases and similarity search algorithms
– Experience with distributed systems and cloud architectures
– High-performance backend development skills (preferably Go, Rust, or C++)
– API design and development experience
– Knowledge of machine learning and AI applications
– Experience with cloud platforms like AWS, GCP, or Azure

**Preferred Qualifications:**

– Experience with large-scale data processing and analysis projects
– Contributions to open-source projects
– Familiarity with DevOps and CI/CD processes
– Strong problem-solving and analytical thinking skills

Required Skills:

– Vector Databases
– Similarity Search Algorithms
– Distributed Systems
– Cloud Architecture
– Go / Rust / C++
– RESTful API Design
– Machine Learning
– AWS / GCP / Azure
– High-Performance Computing
– Data Structures and Algorithms

Important Notes:

1. Applicants must research existing vector database service providers, especially Pinecone, before submitting a proposal. Familiarity with the current market offerings is crucial.

2. Only teams confident in creating a vector data service platform comparable to existing services should apply.

3. We will give special consideration to proposals demonstrating innovative approaches and fresh ideas. Creativity and forward-thinking solutions are highly valued.

4. In your proposal, please include:
   – A brief summary of your experience with similar projects (if any)
   – Your approach to this project, particularly addressing performance and scalability challenges
   – Any innovative ideas or unique perspectives you can bring to the development process

We look forward to reviewing proposals that showcase both technical expertise and creative problem-solving. This project offers an exciting opportunity to contribute to the cutting-edge field of vector databases and AI services.

Budget: $40,000

Posted On: August 03, 2024 10:17 UTC
Category: Full Stack Development
Skills:Rust, C++, Cloud Architecture, Machine Learning, Quantum Computing, Vector Database

Country: Turkey

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