Description review
ML Platform and Inference Engineer - Content Developer
Jalasoft · Argentina · back to the listing
HR standards
42/100
poor
Title ↔ description
58/100
needs work
Reads as
Machine Learning Engineer
92% confident
What this role officially is
data scientist — ESCO, the EU occupation classification
Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.
Also known as: data scientists, data engineer, research data scientist, data expert, data research scientist
How others title the same work
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Startups
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- Staff AI Engineer - Agent Architecture & Behavior Artisan
What the listing never says
- No section describes what the person would actually do. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
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
• 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
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.
Originally posted on Himalayas
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
• 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
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.
Originally posted on Himalayas