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Customer-facing engineer who designs and advocates Google Cloud’s Applied AI solutions for enterprise clients, troubleshooting technical roadblocks and presenting architectures.
Optimizes AI inference performance at scale for DeepMind’s general-purpose learning agents, analyzing bottlenecks across application, model, and distributed infrastructure to maximize hardware throughput and reduce latency.
Leads product development for AI and data security solutions, collaborating with engineering, sales, and customers to define features, translate technical challenges, and drive adoption of emerging technologies in enterprise cybersecurity.
Leads Databricks-based data platforms and Agentic AI solutions for insurance processes like claims and underwriting, optimizing Spark architectures, FinOps, and regulatory-compliant data governance.
Leads AI-powered cloud management product (Gemini Cloud Assist) by defining strategy, roadmap, and user experiences for agentic AI features in cloud operations and application lifecycle management.
Build and test iOS apps for Google’s XR and mobile platforms, integrating AI to create seamless, context-aware user experiences at scale.
Build and deploy AI agents that automate workflows across business units, train teams to own solutions, and ensure compliance—working hands-on with LLMs like Claude.
Develops, optimizes, and troubleshoots HPC clusters and cloud-based AI/ML workloads for AMD’s Data Center GPU team, focusing on GPU/CPU drivers, Kubernetes, Slurm, and OpenStack for high-performance computing.
Lead a GPU-focused neocloud platform’s Kubernetes and core infrastructure, designing and operating production-grade clusters and automation for reliability and developer experience.
Build and modernize AI-powered workflow and data-exploration platforms in Java/Go/JavaScript, integrating BigQuery and MCP for AI agents and users.
The Lead Data Science Consultant will lead complex R&D and AI projects for enterprise clients, bridging the gap between advanced scientific research and practical software engineering solutions. The role involves stakeholder management, architectural decision-making, and mentoring within a hybrid intelligence team.
Build and maintain trusted data models for commercial and financial domains using SQL, dbt, and AI tools to power revenue insights and strategic decisions for hoteliers.
The Software Engineer will join the foundation team to build mobile infrastructure, design systems, and agentic AI tooling for a large-scale educational platform. The role involves working with Flutter, Go, and agentic coding tools to improve developer experience and product performance for millions of students.
Develops AI solutions using Microsoft Copilot and Copilot Studio to enhance enterprise productivity, partnering with business teams to design workflows and enable adoption across the organization.
The Lead Data Engineer will architect and scale data infrastructure for an AI-powered property management platform, managing real-time pipelines, vector databases, and ML workflows. As the first senior data hire, this role involves defining the technical stack, engineering standards, and data strategy while collaborating with AI and product teams.
Snowflake is seeking a Software Engineer to develop and serve AI platforms and enhance AI-driven functionalities. The role involves collaborating with research and engineering teams to build scalable backend solutions and mentor team members.
Руководитель направления Red Team в Сбербанке отвечает за повышение устойчивости инфраструктуры к киберугрозам, используя передовые методы и ИИ для поиска уязвимостей и тестирования защиты.
The Client Delivery Manager will orchestrate the technical onboarding of banking clients onto Constantinople's AI-native platform. This role involves managing project plans, coordinating between internal engineering/product teams and client stakeholders, and developing scalable delivery playbooks.
The Senior AI/ML NPU Validation Engineer will develop and execute software validation strategies for AMD's AIE and NPU technologies. The role involves using C/C++ and Python to test complex DSP/ML algorithms and collaborating with cross-functional teams to ensure high-quality software releases.
Build and maintain data pipelines, dashboards, and reports in Excel/SQL/Power BI to guide business decisions and automate routine analyses for an AI-focused company.
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