Academic Content Developer - ML Platform and Inference Engineer
Jalasoft Open · verified Oct 24, 2026 At a glance
Mid-level ML Platform & Ops role at Jalasoft. Remote, Argentina · contract.
Pay not stated ML Platform & Ops salary
remoteroles summary, based on the employer's posting.
What you'll do
- Shape the master’s course into learning modules and hands-on lab work
- Build a reference implementation and an evaluation harness for the course
- Prepare instructor guidance, then transfer the finished materials for others to teach
What you bring
- A master’s degree in computer science or a related discipline, plus at least five years shipping production software, including two in AI or ML
- Public technical writing evidence, such as documentation, a technical blog or an open-source project
- Experience fine-tuning classical ML or smaller foundation models and deploying containerized inference services
- Production experience with multi-tenant inference, plus quantization and caching work that reduced serving costs
- Professional written English, shown through a test, English-language education or mainly English-language work
Who this fits
This contractor role suits someone who can personally build course materials to production standards and hand them over to other instructors. The role is remote in Argentina.
From the employer
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
- Masters Degree in Computer Science or related
- 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)
- 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
- Professional written English proficiency (test score, education in English, or work experience mainly in English).
- Proof of English proficiency (test score, education in English, or work experience mainly in English)
- Any extra proof of expertise, if available (publications, certifications, patents, training)
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.
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