Machine Learning Engineer

📋 Description

• Design, implement, test, deploy, and maintain data- and model-centric systems for production-grade
• Build end-to-end ML training pipelines (ingestion, validation, transformation, training
• Deploy, optimize and package models for inference.
• Support platform and AI runtime teams to serve models in cloud and on edge/sorters.
• Collaborate on data- and model-centric research and innovation.
• Collaborate with internal users and maintain robust ML tooling and APIs.

🎯 Requirements

• Several years of professional experience delivering production ML systems with measurable impact.
• Expertise in Python.
• Expertise in computer vision and ML/DL tooling.
• Proficiency in MLOps: data modelling, packaging, containerization, CI/CD.
• Experience with data science for vision-based model optimization.
• Knowledge or willingness to learn TypeScript, REST API development, and modern frontend frameworks

🎁 Benefits

• Hybrid working model.
• Flexible and international working environment.
• Modern office and testing facilities.
• Sustainable and future-oriented industry.
• Competitive salary package including bonus.
• Laptop and mobile phone.