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Jalasoft

Academic Content Developer - ML Platform and Inference Engineer

Argentina
Level
Mid
Work type
Remote · Argentina only

Not stated in the posting: salary, visa.

Open. First seen 7 October 2026.

Apply on the company's site →

About the role

Jalasoft's standard text

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.

What this role asks for

Standard for data science / ML roles

PyTorch

Common in data science / ML postings at any company.

75% of this description is written for the role. The rest is Jalasoft's standard text, folded away below.

Read against Jalasoft's other open postings on this site.

The team: Jala University Professor

This role is one of 8 open in Jala University Professor. 4 were posted in the last 30 days.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

Golang (4 of 8), JavaScript (4 of 8), Node.js (4 of 8), TypeScript (4 of 8), Docker (2 of 8), Hugging Face (2 of 8), OpenAPI (2 of 8)

OTHER ROLES ON THIS TEAM

From the team and dates on Jalasoft's own job board.

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