…With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale…

…Collaborate directly with the GTM team (Account Executives and Solutions Architects) to ensure smooth integration and successful deployment of ML solutions. - Demo / Proof of…

…core product is built on GenAI, architect the inference foundations that capability depends on, and size deployments so they can scale in their market…

…Collaborate directly with the GTM team (Account Executives and Solutions Architects) to ensure smooth integration and successful deployment of ML solutions. - Demo / Proof of…

…North-South (N-S) use cases and deployment scenarios to maximize performance and efficiency for AI inference jobs. Drive the strategy for performance observability…

…infrastructure, cloud platforms, solution architecture, or startup technical engagement. Strong understanding of generative AI, deep learning, machine learning, model lifecycle, inference serving, model optimization…

…AI workflows, simulation, model optimization, edge inference, and deployment patterns. Run robotics-focused code labs, workshops, architecture reviews, office hours, developer sessions, technical webinars…

…architecture of ML and AI solutions, including data, model, training, inference, and evaluation components, employing best practices for scalable and reliable deployment. Solution Development…

…core product is built on GenAI, architect the inference foundations that capability depends on, and size deployments so they can scale in their market…

…So we expanded into software and started building integrated, omnichannel solutions – to help sellers sell online, manage inventory, offer buy now, pay later functionality…

…Own Deployments: Embed directly with client engineering teams to manage the complete deployment lifecycle of AI solutions, from technical scoping to production handoff. Build…

…Own Deployments: Embed directly with client engineering teams to manage the complete deployment lifecycle of AI solutions, from technical scoping to production handoff. Build…

…Your work will span across model architecture, data pipelines, evaluation frameworks, and real-world deployment. You’ll collaborate deeply with AI Platform, Simulation, Robot…

…In-depth knowledge of ML converters/compilers and runtimes, and hardware-accelerated ML inference techniques. Strong understanding of generative AI model architectures and their…

MEET DEEPL DeepL is a global AI product and research company focused on building secure, intelligent solutions to complex business problems. Over 200,000…

…Preferred Prior experience in Partner Solutions Architect, Solutions Engineering, or Alliance Engineering roles at AI companies, cloud providers, global system integrators, or major enterprise…

…We build massive-scale distributed training and inference solutions. This organization builds the full stack of software, servers and chips to accelerate at the…

…to measure model performance and quantify business impact - Architect and deploy GenAI and LLM-based solutions for investigation automation, case classification, and intelligent knowledge…

…You'll spend your time partnering with VPs and GMs to identify the highest-leverage science opportunities, architecting novel ML solutions to complex product…

…for automated build, integration, deployment, and qualification across different inference frameworks and environments. Understand existing infrastructure and system software architecture, debug issues in current…

…custom AI solutions on NCP and Neo Cloud platforms, including distributed training, inference optimization, and MLOps pipelines constructed on NVIDIA reference architectures. Act as…

…Proven track record deploying IoT solutions for operations optimization, predictive maintenance, and real-time monitoring. Deep hands-on knowledge of edge-to-cloud architectures…

…That means owning the inference stack end to end: profiling where time and cost go, bringing modern optimization techniques into real deployments, and getting…

…The ideal candidate is equally comfortable discussing causal inference and statistical power with data scientists, distributed computation architectures with engineers, and experimentation strategy with…

…Technical Background: - Strong understanding of enterprise software deployment architectures (cloud, on-premises, hybrid, air-gapped) - Working knowledge of or experience with modern AI: LLMs…