ML Platform and Inference Engineer – Content Developer

Job not on LinkedIn

🔥 31 minutes ago

🌐 Argentina, Colombia, +4 more countries – Remote

🇦🇷 Argentina – Remote 🇨🇴 Colombia – Remote 🇲🇽 Mexico – Remote 🇵🇪 Peru – Remote 🇧🇷 Brazil – Remote 🇪🇨 Ecuador – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🎬 Content Creator

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Jalasoft

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2003

☁️ SaaS

📚 Education

Software Development • SaaS • Education

Jalasoft is a global nearshore software development company with a strong presence across 70 cities in 13 countries. With a team of over 1000 South American-based software engineers, Jalasoft specializes in software development, quality assurance (QA), and DevOps solutions. The company focuses on staff augmentation and dedicated teams tailored to meet client needs, ensuring quality and efficiency in project delivery. Jalasoft places a strong emphasis on security, holding an ISO 27001 certification, and partners with leading technology firms like Palo Alto, NVIDIA, and Cisco to offer reliable network and data center management. In addition, Jalasoft operates Jala University, offering educational programs in technology to foster and recruit top tech talent. The company aims to drive digital transformation by providing agile, culturally aligned nearshore software solutions.

📋 Description

• 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