Future Tech Jobs
Future Tech Jobs
At NVIDIA, our employees are passionate about Artificial Intelligence, accelerated computing, and the transformation of industries through software and AI. We are seeking a highly technical and strategic Senior Developer Relations Manager – Manufacturing (EMEA) to engage and grow the...
At NVIDIA, our employees are passionate about Artificial Intelligence, accelerated computing, and the transformation of industries through software and AI. We are seeking a highly technical and strategic Senior Developer Relations Manager – Manufacturing (EMEA) to engage and grow the...
This role involves leading complex end-to-end deployments of cutting-edge AI models in production, working closely with strategic customers to understand their needs and guide the adoption of these models. Responsibilities include technical scoping, system design, building full-stack solutions, and ensuring successful production rollouts while providing feedback to improve product and model roadmaps.
About the teamOpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development.About the RoleWe are looking for customer-focused software engineers to build effective...
CBRE Global Workplace Solutions is a leading global provider of integrated facilities and corporate real estate management. We are recruiting a Critical Services Shift Technician to join the team in London.About the Role:As a CBRE Critical Services Technician, you will...
This role involves developing end-to-end product features for Synthesia’s Avatars and Generative Media domain, combining frontend, backend, and AI model capabilities. You will take ownership of features from idea to production, working closely with product and design to iterate and refine solutions based on user feedback.
As a Staff Backend Engineer, you will work on the core systems powering avatars and generative media, ensuring scalability, reliability, and extensibility. You will collaborate with product, design, R&D, and adjacent teams to integrate complex features and maintain high code quality standards.
As an AI Deployment Engineer, you will be responsible for building and maintaining the data infrastructure that supports AI deployments, integrating AI solutions into existing business systems, and ensuring reliable and scalable production-grade systems. You will work closely with AI Deployment Strategists to take prototypes to production, manage data models, and troubleshoot integration issues.
As an AI Deployment Strategist, you will partner with business units to identify and scope high-impact AI and automation opportunities, lead discovery and scoping sessions, and build AI agents and workflows using Python and LLM frameworks. You will work closely with the AI Deployment Engineer and other teams to translate business problems into working AI solutions and drive adoption across the organisation.
This role involves designing, building, and deploying machine learning models to support evidence-based decision-making in healthcare. You'll work within a collaborative team to solve complex business problems, ensure data governance, and promote responsible AI use.
This role involves developing and owning the business plan for expanding Cambridge Consultants' presence in the telecom market in Japan. Responsibilities include building strong commercial relationships, driving the sales process, collaborating with technical teams, and representing the company at industry events. The role requires a deep understanding of the telecom market and the ability to work independently while contributing to the overall growth strategy.
This role involves designing and conducting complex data creation tasks, including synthetic and model-based data generation, and coordinating human-in-the-loop data collections. You will work closely with cross-functional teams to ensure the quality and innovation of AI models.
As a Language Engineer, you will design and manage complex data collections, create synthetic and model-based datasets, and collaborate with cross-functional teams to advance AI model training and evaluation. Your work will directly contribute to improving Amazon's AI capabilities and products.
