Track This Job
Add this job to your tracking list to:
- Monitor application status and updates
- Change status (Applied, Interview, Offer, etc.)
- Add personal notes and comments
- Set reminders for follow-ups
- Track your entire application journey
Save This Job
Add this job to your saved collection to:
- Access easily from your saved jobs dashboard
- Review job details later without searching again
- Compare with other saved opportunities
- Keep a collection of interesting positions
- Receive notifications about saved jobs before they expire
AI-Powered Job Summary
Get a concise overview of key job requirements, responsibilities, and qualifications in seconds.
Pro Tip: Use this feature to quickly decide if a job matches your skills before reading the full description.
🚀 Machine Learning Engineer (Infra & Deployment)
Location: Remote (EU/US friendly time zones) | Full-time
At Alinia AI, we build the guardrails that make generative AI safe and reliable for regulated industries such as finance.
We’re looking for an ML Engineer to own our ML infra and take research to production: designing scalable pipelines, deploying LLMs/RAG systems, and powering evaluation guardrails in real-world environments.
What you’ll do:
- Build and scale ML infra (training, serving, monitoring).
- Deploy LLMs, RAG pipelines, and detectors into production.
- Translate research into APIs and reliable services.
- Collaborate across research, engineering, and product.
What we’re looking for:
- 4+ years ML Engineering / MLOps.
- Strong Python + ML frameworks (PyTorch/TensorFlow).
- Cloud + Kubernetes/Docker + CI/CD experience.
- Proven track record in production ML deployments.
đź’ˇ Bonus: experience with LLMs/RAGs, regulated industries, or compliance frameworks.
🌍 Remote | Competitive comp + equity | Early, high-impact role
👉 To apply send your resume to [email protected].
Key Skills
Ranked by relevanceReady to apply?
Join Alinia AI and take your career to the next level!
Application takes less than 5 minutes