Data Science Architect

TL;DR

Data Science Architect (AI Engineering): Lead design and evolution of data science systems including deep learning inference on edge devices and cloud-based MLOps platforms with an accent on system architecture, model lifecycle optimization, and technical leadership. Focus on designing scalable, high-performance solutions, driving innovation in deep learning models, and guiding data science teams.

Company

hirify.global Food is a multinational leader in sensor-based sorting and integrated post-harvest solutions for the food industry, focused on maximizing food safety and minimizing food loss.

What you will do

• Design deep learning vision models and real-time inference architectures for hirify.global Food sorters including GPU specifications.
• Maintain and improve cloud-based MLOps platform and data science pipelines.
• Provide technical leadership and guidance to data scientists.
• Stay updated on industry trends and emerging technologies to keep systems cutting-edge.
• Translate customer needs into technical product requirements.
• Optimize model lifecycle and performance to create customer value.

Requirements

• Master's or higher degree in AI, Mathematics, Statistics or equivalent.
• Computer vision expertise and proficiency with ML tools and frameworks such as Python, Pytorch, Tensorflow, TensorRT.
• Experience with cloud platforms like AzureML, Databricks, AWS and tools like MLFlow.
• Experience with data visualization and labeling tools, databases, and DL inference on edge devices.
• Excellent communication and interpersonal skills with proven technical leadership.
• Strong problem-solving and troubleshooting skills.

Culture & Benefits

• Health insurance and pension schemes with employer and employee contributions.
• 25 days annual leave plus additional long service days.
• International and collaborative working environment with support for innovation and experimentation.
• Inclusive culture valuing diversity, well-being, and camaraderie.
• Professional training and development opportunities.
• Social events and mission-driven work to reduce waste and transform resource use.