Academic Content Developer - ML Platform and Inference Engineer

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.

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.

• 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)