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Designs and builds AI-powered marketing architecture, integrating systems like HubSpot and Salesforce to automate customer journeys, personalization, and ROI-driven planning for ecommerce growth.
Leads cross-functional programs for AI infrastructure scaling, managing GPU capacity, vendor relationships, and supply planning to ensure reliability and cost efficiency for a million+ AI developers.
The Gen AI Solution Architect will design and deliver enterprise-grade AI/ML solutions using Microsoft Copilot, Azure, Python, and PySpark. This role involves hands-on development and cross-functional collaboration to implement advanced AI technologies.
The AI Ops Engineer will implement AI and automation tools to enhance IT operations, focusing on monitoring, incident response, and system reliability. This role requires an active Secret clearance and involves deploying AI-driven operational intelligence solutions.
Assess and document security controls for AI/LLM systems in AWS cloud environments, authoring RMF artifacts and bridging gaps between offensive security and DevSecOps pipelines.
The SST Systems Architect will lead the design and development of solid-state transformers for gigawatt-scale AI data center power infrastructure. This role involves architecting power systems, managing engineering teams, and defining semiconductor strategies to enable high-speed, large-scale compute deployment.
Build and deploy agentic AI systems for rare disease research, designing multi-turn LLM workflows that validate structured outputs and log decisions for review by clinicians and researchers.
Software Engineer als consultant bouwt schaalbare oplossingen voor klanten, adviseert over architectuur en moderniseert systemen met moderne technologieën zoals TypeScript, React, C# en cloudplatforms (Azure/AWS/GCP).
Leads UX design and research for AI-driven digital products, creating wireframes, prototypes, and user flows while conducting research to inform intuitive, data-backed solutions for global enterprises.
The Data Engineering Tech Lead will architect and build Nimble's core data infrastructure, including storage, caching, and indexing systems. This role involves leading technical strategy for data scalability and mentoring engineering teams to support real-time web search and AI data pipelines.
Perform quality inspections, testing, and documentation for mechanical systems—especially liquid cooling technologies—in data center construction projects, ensuring compliance with project specs and industry standards.
Build and run the distributed GPU infrastructure that trains and serves PhysicsX’s large AI models for engineering simulation, partnering with research scientists to optimize training pipelines and model deployment.
Lead a team building and adopting internal AI tools for a fintech company, designing RAG pipelines, agent loops, and evals while driving organization-wide AI literacy and adoption.
Leads cross-functional IT programs to improve operational maturity, streamline workflows, and build scalable internal systems for a fast-growing AI company.
Full Stack Software Engineer building across web platforms, API backend, SDK, and desktop app for LM Studio's AI tools using TypeScript, React, SQL, and networking protocols.
The Security Compliance & Customer Assurance Analyst manages internal risk registers, audit documentation, and customer security questionnaires using GRC platforms. The role leverages AI tools to automate compliance workflows and supports customer engagements regarding the company's security posture.
Principal Product Manager at Microsoft Commerce to define and drive the personalization strategy for shopping experiences across Copilot, Bing, Edge, and partner surfaces, leveraging signals, models, and ranking systems at scale.
Designs and deploys AI-driven insurance solutions using Databricks, focusing on scalable agentic workflows and production-grade AI systems.
The Sr. Pre-Sales Solutions Engineer partners with EMEA sales to demonstrate Anaconda’s AI/data science platform, designing technical solutions and driving customer adoption across the region.
The Machine Learning Engineer Co-op will design, implement, and manage complex ML algorithms for US National Security applications. The role involves training models, using MLOps tools, and transitioning algorithms to production environments.
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