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Academic Content Developer - ML Platform and Inference Engineer

Jalasoft · English: C1 · IT Outsourcing & Dedicated Teams · Custom Software Development · Master's Degree · 2 months ago
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Location
Remote (Argentina, Brazil, Colombia, Mexico, Ecuador, Peru)
Employment
Contractor

Confirmed on the employer's own hiring board on Nov 4, 2026. First seen by Alion on Sep 11, 2026.

Overview
Company
Impact
Profile match

Jalasoft

Jalasoft is a software development and nearshore outsourcing company that provides engineering teams to clients mainly in the United States. Its services cover web and mobile application development, cloud, data analytics, DevOps and quality assurance, and it runs the Jala University training programme to develop technical talent in Latin America. The company is headquartered in Cochabamba, Bolivia.
jalasoft.com · HQ: Cochabamba, Bolivia · IT Outsourcing & Dedicated Teams · Custom Software Development · Est. 2001
Tech stack of Jalasoft

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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