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Join our Team About the opportunity Ericsson’s Service Architecture team, within Service Management in the Operate Service Line, seeks an AI & Cloud Architect to define the strategy for an enterprise AI…
Who we are Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their…
Builds and deploys AI-driven predictive models for cardiovascular risk, user engagement, and health recommendations in a healthcare-focused AI platform.
Overview Join the Agentic Search team at Atlassian to build and ship intelligent search experiences that power Rovo Chat and AI-driven workflows across the Atlassian platform. As an MLE on this team, you'll work at…
At Bristol Myers Squibb, our employees often ask, “Who are you working for?”—a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop,…
The Deep Learning Solution Architect will drive the development and optimization of reinforcement learning and post-training frameworks for LLMs and multimodal models, providing technical guidance to customers on NVIDIA's AI platforms.
You will be part of an energetic A.I./Machine Learning cross-functional team, collaborating with various business/product partners (e.g. Credit, Fraud, Risk, Web, Mobile, Marketing, Enterprise Automation, etc.) to…
Job Title: Data Scientist / Principal Investigator Job Category: Science Time Type: Full time Minimum Clearance Required to Start: TS/SCI Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel:…
LLM Engineer – Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic…
Work Location: Toronto, Ontario, Canada Hours: 37.5 Line of Business: Analytics, Insights, & Artificial Intelligence Pay Details: $105,500 - $125,000 CAD The pay details posted reflect a temporary market premium…
About Terabase Energy Terabase Energy builds the automation and robotics systems that are transforming how utility-scale solar power plants are built. Our platforms combine robotics, controls, and software to increase…
NVIDIA is seeking talented Deep Learning Scientists / AI Researchers / Machine Learning Engineers to join our rapidly growing AI Safety and Responsibility efforts for Enterprise Risk Management. In this role, you will…
Are you looking for an exciting opportunity to solve exciting business problems? Our Technology team builds innovative products, services, applications to support various business functions, workflows of Wholesale…
The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm’s data and analytics journey. This includes ensuring the quality, integrity, and security of the company's…
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a…
About Us Dyson is a global technology company that sets out to solve the problems others ignore. We create machines that are different, better and more useful through inventive engineering, relentless testing and a…
Senior DevOps & Infrastructure Engineer owning production cloud infrastructure (GCP, AWS, Azure) with Terraform, Kubernetes, CI/CD, and Python/Go/Shell automation for an AI-focused business.
The Software Engineer will build reinforcement learning environments to test AI models and optimize software performance. The role involves refactoring code, debugging complex issues, and implementing new features using languages like Python, Java, Rust, or TypeScript.
The Senior Software Engineer will build reinforcement learning environments to test AI models and optimize software performance. The role involves refactoring codebases, debugging complex issues, and implementing new features using languages like Python, Java, Rust, or TypeScript.
Build Reinforcement Learning environments to test AI models' problem-solving skills, while handling complex software engineering tasks like feature development, bug fixing, refactoring, and performance optimization using Python3, Java, Rust, or TypeScript.
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