3 of 3 Remote Milvus Jobs

distributed data platforms and scalable pipelines. Excellent knowledge of PostgreSQL (or similar relational databases) and NoSQL databases. Experience with vector databases such as Qdrant, Milvus or pgvector . Familiarity with technologies such as Apache Spark, Airflow, Kafka, Elasticsearch/OpenSearch, Pandas and Polars . Strong understanding of data modelling ...

deployments, CI/CD, and MLOps tooling (MLFlow, Airflow)Experience with Microsoft Agent Framework, Azure AI Agent ServiceKnowledge of vector databases (Pinecone, Weaviate, Qdrant, Milvus)Familiarity with guardrail and AI safety techniques (output filtering, prompt injection defense)Experience in distributed systems, event-driven architectures, and workflow enginesPrior involvement ...

Fortune 500 customers. 2. Architecting and validating high-performance storage and retrieval layers for agent memory, context, and knowledge-base grounding using the Milvus vector database and related embedding-based retrieval systems to power retrieval-augmented generation (RAG) within LLM-driven AI agents. 3. Designing and deploying stateful, long … Experience must include: a. Designing and implementing replication engine using Golang, gRPC, REST APIs. b. Designing and validating high-performance unified storage architecture using Milvus vector database. c. Adding support for files as the primary storage for k8s persistent volume with support for ondemand replication. d. Integrating Gospiffe library ...