Machine learning & computer vision platform engineer

Description du poste

About

At Scortex, we love factories. The smell of grease, the sparks of welding, the jingling of conveyor belts. We appreciate the beauty of a well-crafted industrial process, delivering value at a massive scale in the physical world.

That is why it pains us to see manufacturing companies struggle with their quality. Throwing away parts by the thousands, or missing the needle in the haystack, letting faulty products slip through their tired eyes, despite all their efforts. We decided to solve this major headache of theirs, by building the required technology and making it accessible to everyone.

Leveraging Machine Learning, Our Platform Allows Customers To

• detect faulty parts on a production line, automatically, in real-time,
• know and understand quality issues at a large scale,
• dynamically improve the quality of the production.

Scortex is a team of passionate individuals, in a unique blend of the tech and manufacturing worlds.

Job Description

As a ML Platform Engineer, you will work at the intersection of software engineering, machine learning operations, and cloud infrastructure. You will maintain and evolve cloud infrastructure, tools, pipelines, and deployment workflows that enable machine learning researchers and engineers to move faster and deploy models reliably into production.

It is expected that you place the utmost importance in automation, monitoring, security, and documentation. In addition, you will collaborate closely with ML researchers, software engineers, and product teams to improve reproducibility, scalability, and operational reliability across the ML lifecycle.

As Such, Your Tasks Will Include

• Build internal tooling to support data preparation, experiment tracking, model training, and evaluation
• Design and maintain model deployment pipelines for production inference systems
• Support deployment and monitoring of computer vision models in production environments
• Improve & Automate the P

Annonce publiée sur LinkedIn et reprise par Intelligence Academy. Seule l'annonce d'origine fait foi ; nous ne sommes pas l'employeur.