Machine Learning Engineer*
Core
Develop, implement, test, deploy, and maintain data- and model-centric systems providing machine learning functionalities at production level for industrial sorting machines.
Role type
Senior Machine Learning Engineer (Computer Vision & MLOps)
Builds
End-to-End ML training pipelines, optimized models for cloud and edge deployment, and data platforms for recycling sorting technologies.
Domain
Industrial automation / Recycling and waste management / Computer Vision
Deliverable
production ML models
Required skills
Python, Computer Vision, Deep Learning, MLOps, Data Modeling, Containerization, CI/CD, TypeScript, REST API development, Cloud/On-Premises platforms, Model optimization frameworks (TensorRT, ONNX, CUDA, cuDNN), Edge deployment on hardware (x64, ARM/Jetson)
Preferred skills
Data Science for image processing optimization, Modern frontend frameworks (Vue.js, React)
Technologies
SQL/NoSQL databases, Object storage, Feature Stores, REST APIs, Vue.js, React, TensorRT, ONNX, CUDA, cuDNN, x64, ARM, Jetson
Responsibilities
Build and maintain secure data platforms; Develop and package models for production use; Support platform and AI runtime teams for cloud and edge deployment; Contribute to data-centric research and innovation projects; Develop internal tools and web interfaces for ML workflows; Implement CI/CD pipelines and perform unit/integration/performance testing.
Seniority
Senior, hands-on IC
