…leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations…

…Computer Science, Data Science, Engineering). - Foundational knowledge of AI/ML/Data Science, with the credibility to advise both technical and non-technical audiences. - Hands…

…Develop proactive pipelines for scarce and emerging skills, including AI/ML, data, platform, infrastructure, security, and senior product or engineering leadership talent. - Use data…

…You'll work closely with Industry Leadership, Enterprise/Partner Sales, Product Marketing, Engineering, and Operations to keep partnerships strategically aligned and measurably impactful. Partnership…

…the customer's AI/ML objectives Lead with a “whatever-it-takes” mentality, proactively identifying customer needs and operator pain points to ensure customer…

…Data & Organizational Insights Use people and business data to assess organizational health, talent trends, leadership effectiveness, and workforce risks. Translate insights into clear recommendations…

…stakeholders, and senior leadership. Good technical fluency, with the ability to understand system architecture, data flows, integration dependencies, security requirements, operational risks, and engineering…

…ve established a track record of shipping ML-driven improvements to fleet stability, efficiency, or operational automation; deepened working relationships with two or more…

…Azure Landing Zones, hybrid and multi-cloud architectures Secure infrastructure platforms supporting AI/ML, data, and mission workloads Governance, identity, networking, resiliency, and operational…

…leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations…

…data sets for model training/grounding. This is a critical role to the team with strong technical leadership in system reliability, maintainability, and operational…

…What You’ll Be Doing Support the MLRO in operating the firm's financial crime compliance framework, ensuring adherence to MiCA, local AML/CFT…

…Experience with AI/ML technologies, cloud architecture, data engineering, and using AI tools and workflows in creating software engineering artifacts. Enjoy travel and are…

…Ability to work with data at an operational level: you can define a metric, query a dataset with analyst support, interpret a distribution, and…

…5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 2 years…

…leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations…

…leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations…

…You will work closely with engineering, product, data, and infrastructure partners to develop scalable ML and agentic capabilities, improve model quality, and ensure that…

…As an AI-forward enterprise , we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native…

…Balance technical leadership with operational excellence; lead workload and opportunity review meetings and provide insight into how to achieve a technical agreement and migration…

…leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations…

…leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations…

…5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 2 years…

…Analyze SLO data for trends, improvements, and reliability risks, proposing remediation plans. Proactively engage customers on SLO performance, addressing concerns and offering insights. Lead…

…revenue impact) - Lead the development of data infrastructure supporting AI/ML pipelines and agentic systems, including MCP tools and natural-language data access layers…