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Join us at the forefront of applied AI innovation and help build the next generation of agentic AI applications at one of the world’s largest banks. You will bridge cutting-edge AI capabilities with enterprise-grade…
This Lead Software Engineer/Data Scientist role drives SEI's enterprise AI strategy, focusing on the design and deployment of Generative AI, RAG systems, and agentic workflows. The position involves architecting scalable AI solutions, establishing governance standards, and mentoring technical teams to integrate AI into financial services products.
About the Role WEX is reimagining its enterprise data platform with an ambitious goal: make our data understandable not only to people and applications, but also to AI models and autonomous agents. We are looking for a…
Position Database Engineer Location Toronto, ON (100% onsite) Employment Type New, Full-Time Permanent position Salary $110,000 - $125,000 (depending on experience) plus incentive compensation Hamilton ETFs is building…
JOB DESCRIPTION Job title: AI/ML Senior Specialist Location: Kochi (Hybrid) Contract: Permanent, full-time About us: Cyncly is a global technology powerhouse with 2,800+ employees and 70,000+ customers across 100+…
The Data Engineer will design and operate high-throughput data pipelines to ingest unstructured data, generate vector embeddings, and support semantic search for national security analytics.
Data Engineer building large-scale pipelines to ingest and process unstructured documents, generate vector embeddings, and enable hybrid keyword/semantic search for national security analytical products.
The Lead Generative AI Engineer will architect and deploy production-grade GenAI platforms, RAG pipelines, and agentic workflows. The role involves technical leadership, mentoring, and optimizing AI infrastructure using Python and modern LLM frameworks.
Job Description Summary #LI-Hybrid Reporting to the VP, Applied AI, Data Science, and Commercial Intelligence, the Executive Director, Semantic and Knowledge Engineering leads the strategy, architecture, and…
Full Stack Engineer building scalable analytical web apps and high-performance APIs using JavaScript/TypeScript, Python, or Java, while deploying AI features like RAG and LLM-driven interfaces for mission-critical government systems.
Staff Full Stack Software Engineer leading OCR and text extraction systems for a legal document management SaaS, building event-driven architectures on AWS with C#/.NET, Kafka, and OCR technologies like Tesseract and Apryse.
Additional Location(s): N/A Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance At Boston Scientific, we’ll give you the opportunity to harness all that’s within you by working in…
Your role: We are seeking an innovative AI & Automation Engineer to design and implement AI-driven automations and internal copilots that optimize workflows across our organization. This role combines cutting-edge…
The Senior AI/ML Full Stack Engineer will design and build end-to-end AI solutions, including RAG pipelines, LLM guardrails, and full-stack applications. The role involves managing MLOps, CI/CD pipelines, and production monitoring for AI services.
Samba is a media intelligence company. We know what the world is watching, reading, and thinking about — in real time, at scale, across every screen. Our data exists with the consent of over a billion people, organized…
Lead a team to build AI-ready data pipelines and integrations that power HERE’s AI, generative AI, and agent-based solutions, ensuring trusted, scalable data foundations for enterprise use cases.
Full Stack Software Engineer building AI-powered analytical platforms for Singapore's national security, using React.js, TypeScript/JavaScript/Python/Java, MongoDB, Elasticsearch, and cloud-native infrastructure (Docker/Kubernetes).
[What the role is] Join a team reimagining the future of our digital services. We are transforming OneMotoring into an intelligent Digital Shopfront that makes every interaction simpler, faster, and more delightful.…
Builds and maintains high-throughput data pipelines to ingest, process, and analyze unstructured data (documents, media) using AI/ML for threat detection and semantic search in national security applications.
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