Jalasoft
via Workable
ML Platform and Inference Engineer - Content Developer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 11h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 4d ago
The date the source published, not the day we noticed it (2026-09-11). Last seen at its source just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Argentina, Colombia, Mexico, Peru, Brazil, Ecuador
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $4,950–6,875/mo
Middle 50% of 15 listings that do state pay — Engineering · all levels · Argentina · USD/month. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
workable employer's own board first seen 3d ago · last seen just now
The listing
Jala University is an innovative initiative designed to bridge the gap between academia and industry by delivering practical education tailored to industry needs, with a unique educational model integrating experts from both academia and industry.
Our goal is to transform the economies of underserved regions through the software industry, creating professional opportunities that impact individuals, communities, and regions, while leaving a lasting legacy for future generations.
Requirements
We're looking for a content developers for its Master in AI Systems Engineering. You'll design module content, labs, a reference implementation, an evaluation harness, and an instructor guide.
Requirements
- 5+ years shipping production software, including 2+ in production AI/ML
- Able to personally build the course artifact to production standard
- Public evidence of technical writing (docs, technical blog, open-source project)
- Reproducibility discipline (pinned dependencies, containers, seeded runs)
- Professional written English
- Willing to hand over developed material to the program (course will be taught by others)
- Track record fine-tuning classical ML / small foundation models
- Experience shipping containerized inference services to production
- Experience with multi-tenant serving in production (routing, queueing, isolation)
- Track record in quantization and caching, with demonstrable serving cost reduction
Tech Stack
Docker, Modal (CPU/T4/A10 and H100/A100), Hugging Face Hub, scikit-learn, PyTorch, vLLM, Prometheus, Grafana, Locust or k6
Benefits
- Remote work modality (home office).
- Joining a dynamic and growing organization with international reach.