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The Senior DevOps Engineer will design, build, and maintain cloud infrastructure for AI solutions, focusing on Azure, Kubernetes, IaC, and CI/CD pipelines. This role involves working within a global data and AI team to ensure secure and efficient operations.
Develops and refines AI-generated full-stack web apps by supervising AI agents, reviewing code for security/scalability, and debugging edge cases beyond LLM capabilities.
Technical Product Manager owning a portfolio of data and AI products at a 200+ person data/AI company, bridging enterprise clients with engineering and data science teams from discovery through launch and iteration.
Bluetab is seeking a Data Engineer with 4-5 years of experience to develop and optimize large-scale data pipelines using Scala, Python, and PySpark on Databricks. The role involves designing cloud-based data architectures and collaborating on complex data projects within an IBM-affiliated environment.
Build and deploy AI/ML pipelines using Python, PySpark, and TensorFlow to power generative AI initiatives and data governance at a global scale.
This role involves building and deploying cloud-based Generative AI applications within the Microsoft Azure ecosystem. The developer will primarily focus on backend development using Python or .NET, with occasional frontend work in React and Next.js.
Build and maintain Python-based backend services using Django and FastAPI, integrate LLMs and GenAI, and deploy on cloud and Kubernetes for scalable data platforms.
Build and maintain web apps using Java/JEE or .NET with Angular/VueJS while collaborating on DevOps-driven cloud deployments in a team focused on generative AI and digital innovation.
Lead application and product security initiatives for a private AI platform company, defining security architecture for decentralized/on-device AI systems, integrating security into the ML lifecycle, and owning cloud/edge infrastructure security.
Build production-grade AI agent platforms by designing and operating self-hosted agent runtimes, secure integrations, and retrieval pipelines for Australian professional services clients.
Stage DevOps/Géomatique : développer des fonctionnalités logicielles combinant données géographiques, micro-services et outils Microsoft, dans un centre dédié à l'innovation et l'IA générative.
Build agent-enabled apps and backend automation that turn metadata into governed, production-quality software using Python, FastAPI, React, and AI tools.
Designs next-gen Adaptive/Embedded SoCs for AI, data center, automotive, and aerospace, optimizing low-power architectures with processors, accelerators, and I/O subsystems across chiplet/monolithic/3D form factors.
Own the post-purchase funnel at Groupon—build and ship AI-driven features like personalized communications and predictive churn tools to boost repeat purchases and cut refund costs.
Build backend services and APIs for Nimble’s robotics platform, integrating multi-agent systems with cloud infrastructure to power autonomous warehouse operations.
Designs and maintains automated hardware-in-the-loop (HIL) test frameworks for robotics firmware and embedded systems, ensuring continuous validation of supply-chain automation components using Python, CI/CD, and robotics communication protocols.
Build core robotics software for real-time control, sensing, and task execution in autonomous warehouse robots using Rust and AI integration.
Build and scale the compute, scheduling, and data infrastructure that powers post-training research on in-house reinforcement learning environments for large language models.
Research engineer building and optimizing RL training environments and post-training pipelines for large language models, using PyTorch/JAX and modern RL frameworks.
Build low-level reinforcement learning environments targeting hardware features like GPUs, FPGAs, and vector ISAs to stress-test AI models, using C/C++/CUDA and Python.
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