Cloud ML DevRel Engineer

Accountabilities:

• 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 including 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.

• 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.

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