Vector jobs

Machine Learning Services Engineer - Firefly Bucharest posted: Posted 30+ Days Ago

AI Lab - Junior Machine Learning Engineer Sant Cugat del Valles, Barcelona, Spain

Dir, Machine Learning Eng San Jose posted: Posted 30+ Days Ago

Machine Learning Engineer Belfast - 20 Adelaide Street posted: Posted 30+ Days Ago

Machine Learning Engineer 2 Locations posted: Posted 4 Days Ago

Machine Learning Engineer 2 Locations posted: Posted 4 Days Ago

Oliver Wyman Vector - Technical Specialist / Lead Specialist – Maintenance & Engineering 4 Locations posted: Posted 23 Days Ago

Senior Agentic AI Engineer Yerevan posted: Posted 30+ Days Ago

Computer Vision AI/ML Engineer Huntsville, AL posted: Posted 30+ Days Ago

Oliver Wyman, Vector - Aerospace Systems Test Engineer - Seattle, WA Seattle - Fifth Avenue posted: Posted 30+ Days Ago

Principal Applied Data Scientist - Search and Browse (NLP, Vector Search, LLMs) 2 Locations posted: Posted 22 Days Ago

AI Machine Learning Engineer 4 Locations posted: Posted Today

Machine Learning Engineer India - Hyderabad posted: Posted 7 Days Ago

Oliver Wyman, Vector - Aerospace Senior Systems Engineer - Seattle, WA Seattle - Fifth Avenue posted: Posted 30+ Days Ago

Vector Control Specialist, Senior I (Tier 2) - Manda Bay Manda Bay, US-SC, United States

Associate Machine Learning Engineer India - Hyderabad posted: Posted 7 Days Ago

Machine Learning Engineer/Senior Machine Learning Engineer - Evisort 2 Locations posted: Posted 3 Days Ago

Oliver Wyman, Vector - Aerospace Senior Systems Test Lead - Seattle, WA Seattle - Fifth Avenue posted: Posted 30+ Days Ago

Senior Machine Learning Engineer United States - Remote posted: Posted 2 Days Ago

Sr AI Machine Learning Engineer 4 Locations posted: Posted Today

GenAI Engineer - Database Pune, MH, India Company Description: Job Description: Role Summary We are seeking a Lead, GenAI Database Engineer to design, build, and scale next-generation AI-native data platforms that power Generative AI, Retrieval-Augmented Generation (RAG), and Knowledge Graph-driven applications. This role sits at the intersection of graph theory, vector search, relational data modeling, and AI systems , with a strong emphasis on hands-on technical leadership . You will be responsible for architecting and implementing multi-modal data ecosystems that combine Graph Databases, Vector Databases, and Relational Databases to enable explainable, scalable, and production-grade GenAI solutions. Key Responsibilities 1. GenAI Data Architecture & Platform Design Design and lead end-to-end GenAI data architectures supporting: Retrieval-Augmented Generation (RAG) Knowledge Graph-augmented LLMs (good to have) Hybrid semantic + symbolic reasoning systems Architect polyglot persistence strategies , determining where Graph, Vector, and Relational databases are used and how they interoperate. Establish data standards, schemas, indexing strategies, and performance benchmarks for AI-driven workloads. 2. Graph Database & Knowledge Graph (Hands-on) Own the design, development, and optimization of Knowledge Graphs for enterprise-scale use cases. Model complex domains using nodes, edges, properties, and ontologies . Implement advanced graph capabilities: Entity resolution and linking Schema and ontology design (RDF / OWL where applicable) Graph inference, traversal, and reasoning Hands-on experience with graph query languages . Engineer performant graph pipelines using databases. 3. Vector Databases & Semantic Retrieval Lead the implementation of vector-based retrieval systems to support semantic search and RAG pipelines. Design and manage: Embedding storage and lifecycle

Associate Machine Learning Engineer India - Hyderabad posted: Posted 30+ Days Ago

Principal Software Engineer - Vector Search - Elasticsearch Canada Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data - securing and protecting private information more effectively - Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is the role We're looking for a Principal Software Engineer to join the Elasticsearch - Search team. This globally-distributed team of expert engineers focuses on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene. This is a principal software engineering role that focuses on enhancing the vector similarity search functionality within Elasticsearch, covering the design and implementation of new vector search features, enhancements to existing vector search functionality, and resolving bugs. Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable and intuitive software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things

Student Algorithm Developer – Machine Learning & Computer Vision Rehovot,ISR posted: Posted 30+ Days Ago