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cloud infrastructure distributed systems ai mlops ml📋 Description
- Lead Engineering, ML, and Analytics with clear ownership.
- Own tech direction across platform, infra, and product.
- Define scalable architecture; ensure reliability, performance, security.
- Improve velocity, code quality, and delivery.
- Strengthen documentation and system clarity.
- Mentor Engineering, ML, Analytics teams.
🎯 Requirements
- 10+ years in software, data, or ML environments.
- Bachelor’s, Master’s, or PhD in CS, Engineering, or related field.
- Experience leading technical teams in startup or B2B SaaS.
- Track record building and scaling production AI/ML systems.
- Experience with distributed systems, real-time data, and cloud.
- Logistics or data-heavy SaaS background is a strong plus.
🎁 Benefits
- Global, remote-first team across Asia and Europe.
- Tech-first team solving hard problems.
- Accelerated growth; own the web app from day one.
- Impact you can see; direct business outcomes.
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