Cloud ML DevRel Engineer

We are looking for a Cloud ML DevRel Engineer based in France. This role sits at the intersection of machine learning engineering, cloud platforms, and developer education.

As a Cloud ML DevRel Engineer, your mission will be to accelerate training and inference workloads for ML practitioners across modern cloud and hardware ecosystems, acting as a bridge between open‑source AI tools and major infrastructure providers.

Responsibilities

• Drive awareness and adoption of ML cloud integrations by producing high-quality technical content such as blog posts, tutorials, documentation, and code samples.
• Design and deliver demos, webinars, workshops, and conference talks to technical and business audiences across the AI ecosystem.
• Collaborate with strategic technology partners such as Amazon Web Services, Google Cloud, Microsoft Azure, Cloudflare, NVIDIA, AMD, and others to highlight and improve ML performance on their platforms.
• Build and showcase practical ML applications using modern tooling, including the Hugging Face ecosystem and related open‑source frameworks.
• Contribute to go‑to‑market initiatives by supporting partner enablement and driving developer engagement and feedback loops.

Requirements

• 3+ years of experience in developer relations, developer advocacy, or similar roles focused on ML/AI tools or platforms.
• Strong hands‑on ML or software engineering background, including deploying or training models in production environments.
• Experience working with at least one major cloud platform such as Amazon Web Services, Google Cloud, or Microsoft Azure.
• Proficiency in Python and familiarity with ML frameworks and tooling, including transformer‑based architectures and inference systems.
• Experience working with GPUs or AI accelerators such as NVIDIA, AMD, Intel Gaudi, or TPU systems, with an understanding of optimization techniques for training and inference.
• Proven ability to create and deliver technical content to large developer audiences through writing, speaking, or live demonstrations.
• Active presence in the ML/AI community with published content and an engaged audience on platforms such as LinkedIn, X, GitHub, or YouTube.
• Strong communication skills with the ability to explain complex ML engineering concepts clearly and effectively in English.
• Nice to have: experience with containers and orchestration tools like Docker and Kubernetes, distributed frameworks like Ray or vLLM, and open‑source contributions.

Benefits

• Competitive salary package aligned with senior technical DevRel roles in the AI/ML space.
• Flexible working arrangements, including remote‑friendly policies and adaptable working hours.
• Health, dental, vision coverage, and family‑inclusive benefits depending on location.
• Equity participation, allowing employees to share in long‑term company success.
• Budget for conferences, training, and continuous learning to support professional growth.
• Strong focus on open‑source contribution and community engagement in the global AI ecosystem.
• Opportunity to work at the forefront of generative AI innovation with leading cloud and hardware partners.