Job Title: OpenSearch Vector API & Vector Database Expert

Experience: 5+ years

Job Type: Contract-to-Hire (C2H)

Location: Remote/Hybrid (3 Days WFO) – Pune, Bangalore, Noida, Mumbai, Hyderabad

Work Timings: 11:00 AM to 8:00 PM (Flexibility required for project needs)

Job Description:

We are seeking a highly skilled OpenSearch Vector API & Vector Database Expert to design, implement, and optimize vector search capabilities. The ideal candidate will have deep expertise in vector databases, semantic search, and machine learning-based retrieval techniques to enhance search performance and accuracy.

Key Responsibilities:

• Develop and optimize search solutions using OpenSearch and its Vector API.
• Work with vector databases such as FAISS, Milvus, Pinecone, Weaviate, ChromaDB, etc.
• Implement and fine-tune embedding models (e.g., OpenAI, BERT, SBERT, or custom models for vector search).
• Handle large-scale indexing and retrieval operations efficiently.
• Develop and integrate APIs for vector search solutions.
• Optimize search performance, scalability, and accuracy.
• Work with cloud-based search solutions (AWS OpenSearch, Azure, or GCP equivalents).
• Utilize machine learning, deep learning, and NLP techniques to improve search capabilities.
• Work with Docker, Kubernetes, and microservices architecture (plus point).

Required Skills & Qualifications:

• Proven expertise in OpenSearch and its Vector API.
• Hands-on experience with vector databases (FAISS, Milvus, Pinecone, Weaviate, ChromaDB, etc.).
• Strong programming skills in Python, Java, or relevant languages.
• Experience with large-scale indexing and retrieval systems.
• Strong understanding of performance tuning, optimization, and scaling vector search solutions.
• API development and integration experience.
• Familiarity with Docker, Kubernetes, and microservices architecture (preferred).