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AI/NLP Engineer at BoomerangFX will design and deploy NLP pipelines, build RAG systems, fine-tune LLMs, and develop HIPAA/PIPEDA-compliant AI features integrated into .NET8/ReactJS platform on Azure for healthcare practice management.
Design and implement AI/ML features for cybersecurity solutions, focusing on autonomous systems, multi-agent workflows, and production pipeline management for the Trend Vision One platform.
Req Id: 430485 Connection is everything. It drives us to innovate, explore, and stay close to what matters to us most. At Bell, we're building a more connected future through world-class networks, AI-powered…
About Karbon Karbon is the global leader in AI-powered practice management software for accounting firms. We provide an award-winning cloud platform that helps tens of thousands of accounting professionals work more…
Develop AI, GenAI and Agentic AI prototypes using Azure, Databricks, and LangChain for a Trading & Supply team. Responsibilities include building RAG solutions, deploying agents, and managing scalable AI workflows with Python and SQL.
Design and optimize high-performance ETL/ELT data pipelines for structured and unstructured data (sensor, image) and implement agentic workflows and AI orchestration systems (MCP, multi-agent) at a global semiconductor company.
Full-stack engineer building AI-powered enterprise web applications with React, TypeScript, and Python within NNIT's AI Center of Excellence, integrating LLMs and Azure AI services while collaborating with global stakeholders.
Build and deploy AI-native data infrastructure at Apple scale, designing LLM agents, retrieval systems, and evaluation pipelines to transform how users access iCloud content across devices.
Kroll is hiring a Data Science Manager to lead and grow our data science function within the Enterprise Data Group. This role sits at the intersection of technical leadership and strategic delivery — you will shape how…
Senior Data Scientist designs and deploys ML models (traditional, deep learning, NLP, LLM/GenAI) on Azure/Databricks to solve fintech risk and compliance challenges.
Builds and deploys ML models (traditional, NLP, GenAI) for fintech/government clients, focusing on data pipelines, feature engineering, and model monitoring in Databricks/Azure.
Designs and builds scalable cloud-native AI/ML and GenAI infrastructure for Toyota Financial Services, focusing on MLOps/LLMOps, GPU-accelerated compute, and secure model deployment at enterprise scale.
Designs AI-native SDLC architectures and cloud infrastructure using AWS CDK/Java, integrating AI workflows (LLMs, agentic systems) into enterprise software development workflows.
Designs, maintains, and optimizes AWS-based multi-account SaaS infrastructure for a global agency, focusing on scalability, CI/CD, and AI workloads (e.g., Bedrock, LangChain).
Lead a team building secure, scalable enterprise apps in Java/Spring Boot and Python, integrating AI/ML features and RESTful APIs for JPMorgan Chase’s fintech systems.
Build and lead enterprise-scale agentic AI systems for financial services, designing planning, memory, and orchestration layers while integrating LLMs into production workflows.
Builds and scales production-grade AI/LLM systems, including RAG pipelines, chatbots, and automation workflows, using Python/JS and cloud infrastructure to solve enterprise challenges.
Senior AI Engineer builds production-grade agentic workflows and backend services in Python, integrating LLM orchestration, RAG, and cloud AI tools to deliver enterprise AI solutions.
Builds responsive web and mobile UIs with React/React Native while integrating AI features like LLMs, prompt engineering, and agent workflows to create intelligent user experiences.
Designs and implements AI-native security architecture for an AI-first enterprise platform, securing GenAI agents, models, and integrations while building ML-driven threat detection and autonomous security agents to analyze 22B+ monthly security events across 176K+ hosts and 266+ Kubernetes clusters.
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