ML Platform and Inference Engineer – Content Developer
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Job Description
ML platform engineer developing production-grade AI systems course content for Jala University. Creating modules, labs, inference implementations, evaluation tooling, and instructor materials.
Responsibilities:
- Design module content for the Master in AI Systems Engineering
- Develop labs
- Create a reference implementation
- Build an evaluation harness
- Prepare an instructor guide
- Personally build the course artifact to production standard
- Hand over developed material to the program for delivery by other instructors
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
- Experience with Docker, Modal, Hugging Face Hub, scikit-learn, PyTorch, vLLM, Prometheus, Grafana, and Locust or k6
Benefits:
- Remote work modality (home office)
- Joining a dynamic and growing organization with international reach
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