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Develops and maintains AI/ML pipelines, automates data workflows, and ensures scalable model deployment using cloud platforms and MLOps tools like MLflow/Kubeflow.
Designs AI agents and automated workflows to streamline Google’s launch and governance processes, reducing developer toil and accelerating feature delivery via AI-driven solutions.
Builds and enhances Google’s F1 Query infrastructure, focusing on distributed systems, query execution, and data processing for AI/ML workloads.
Design and sell high-performance storage solutions for AI, HPC, and enterprise workloads, translating customer needs into scalable, secure storage architectures and demonstrating capabilities through POCs and benchmarks.
Design secure, scalable agentic AI solutions that automate business workflows while maintaining governance and human oversight across operations, safety, and procurement.
Lead a small team building an AI-powered analytics platform for iGaming; ship Python backend (FastAPI) and React dashboard, own SQL, LLM→SQL pipelines, and Azure infra.
The Software Developer will build and maintain AI-driven identity verification systems within a full-stack environment. The role involves working with technologies like .NET, Golang, React, and Kafka to deliver scalable, high-availability solutions for global operations.
Designs and deploys AI security controls for Veeam’s multi-cloud SaaS platform, focusing on LLM input/output safeguards, vulnerability reduction, and threat modeling for AI tools. Shapes internal AI security practices and integrates LLM-driven security into CI/CD pipelines.
Build and deploy real-time Vision AI models and pipelines for industrial automation, using Python, OpenCV, and PyTorch on edge devices like Nvidia Jetson.
Owns the product strategy and roadmap for industrial AI platforms like VisionAI, driving market readiness, customer adoption, and commercialization of AI-enabled verification and agentic AI solutions.
Develop and integrate Linux kernel device drivers for AI-enabled sensors, working with hardware bring-up, datasheets, and Yocto/Buildroot to enable custom embedded Linux systems.
Test Engineer at Waabi designs and runs test plans for autonomous trucks and robotaxis, coordinating test tracks, vehicles, and reporting performance data.
The software developer will research, implement, and maintain Keyword Spotting (KWS) solutions using neural networks within a hybrid work environment. The role focuses on deep learning and machine learning development using Python, TensorFlow, or PyTorch.
Builds and deploys generative-AI solutions, agents and automated workflows in Python and TypeScript, coaching teams to adopt AI tools and scale working prototypes into production.
Senior Information Security Analyst troubleshoots complex security incidents, manages endpoint security (SentinelOne), network security (Zscaler), and device management (Microsoft Intune) while analyzing threats, improving processes, and serving as a technical reference for internal teams.
Deploys and integrates Google’s generative AI systems (e.g., Gemini, Vertex AI) into enterprise environments, resolving integration/data/state issues to ensure production-grade AI workflows. Bridges customer needs with Google Cloud’s product roadmap via field insights and best-practice collaboration.
Write and maintain technical documentation for a cloud and AI security platform, using docs-as-code workflows and AI tools to create in-product guides and release updates.
Werkstudent develops AI-powered applications, integrates LLMs into web interfaces, and deploys containerized solutions on GCP and Kubernetes.
Designs, implements, and integrates AI solutions while advising teams on best practices and improving model performance.
Build and secure AI-enabled applications, agents, and RAG systems in a hybrid role, shaping AI security strategy, threat modeling, and runtime guardrails while collaborating on application security reviews.
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