Senior AI Analytics Engineer

As a Senior AI Analytics Engineer in our Data Team, you will serve as a key link between Data Engineering, Technology, and Product teams. Your primary responsibilities will involve operationalizing AI/LLM models, developing scalable data transformation pipelines, standardizing data models, and implementing best practices.

In addition to your core duties in analytics engineering, you will also be involved as a technical Business Analyst on certain data projects, collaborating with business units to translate operational needs into clear technical requirements.

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IMPORTANT — REQUIRED VIDEO SUBMISSION   Every applicant MUST submit a 2–3 minute Loom video explaining a software project they have personally worked on.   In your video, please explain the project's purpose, your specific role, the technologies involved, and how you approached the technical challenges.   Speak naturally, as if you were explaining the project to a potential US client. We want to evaluate your English fluency, technical knowledge, confidence, speaking voice, and ability to communicate without a script.   Proposals without a Loom video link will NOT be considered. No exceptions.

This part-time role requires working Friday to Sunday from 10:00 p.m. to 6:00 a.m. The Global Security Operations Center (GSOC) Agent plays a crucial role in supporting CleanSpark’s enterprise security operations by monitoring in real-time, detecting incidents, and coordinating responses across corporate and operational settings. Positioned at a 24/7 control center, this position involves maintaining awareness of situations, monitoring security technologies, coordinating responses, and ensuring prompt escalation of security events to safeguard CleanSpark’s personnel, assets, and activities.

To excel in this position, individuals must exhibit good judgment, meticulous attention to detail, effective communication skills, and the ability to stay updated on evolving security technologies and operational tools. This role operates on scheduled shifts within a 24/7 environment and involves participation in pre-shift and post-shift briefings to ensure operational consistency.

* Data & AI Architecture: Develop and manage production-quality data models to connect raw data streams with downstream tools and BI, utilizing AI tools for data documentation, writing SQL/Python transformations, handling warehouse dialect conversions, and troubleshooting pipeline errors.