Milvus vector database Engineer

CGI

2 - 7 years

4 - 8 Lacs

chennai

Posted:2 days ago| Platform:

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Skills Required

milvus vector kubernetes python software development data pipelines data engineering artificial intelligence docker deep learning java nlp gcp performance optimization aws azure

Work Mode

Work from Office

Job Type

Full Time

Job Description

Position Description:

Shift

Education Qualification
: Bachelors degree in computer science or related field or higher with minimum 2 years of relevant experience
We are seeking a proactive and technically skilled engineer with hands-on experience in at Milvus vector database Engineer
The ideal candidate should have 2 to 7years of industry experience and possess the ability to collaborate in a dynamic and fast-paced environment.

Your future duties and responsibilities:

Design, implement, and maintain Milvus vector database solutions for large-scale similarity search
Collaborate with ML teams to store and query vector embeddings from NLP, CV, and multimodal models
Optimize database performance through appropriate indexing strategies (HNSW, IVF, PQ)
Deploy and manage Milvus clusters in Docker/Kubernetes across on-premise and cloud environments
Integrate Milvus with data pipelines and real-time applications (e.g, recommendation engines, semantic search)
Implement monitoring, backup, scaling, and security best practices for Milvus
Evaluate and benchmark new vector search technologies and recommend enhancements.

Required qualifications to be successful in this role:

Must-Have Skills: 5+ years of experience in data engineering, backend systems, or AI infrastructure, with at least 2+ years hands-on with Milvus (or equivalent vector DBs)
Strong programming skills in Python (Go/Java is a plus)
Solid understanding of vector search algorithms and similarity measures
Experience with Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure)
Familiarity with embedding generation from deep learning models (e.g, BERT, CLIP, sentence-transformers)
Knowledge of distributed systems, indexing methods, and performance optimization
Bachelors or Masters degree in Computer Science, Data Engineering, or a related field

Skills:

Artificial Intelligence
Data Engineering
Kubernetes
Python.

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