Machine Learning Operations Engineer - Remote

Overview

The Machine Learning Operations Engineer supports our machine learning infrastructure by ensuring seamless model training, optimization, and deployment. This role is perfect for a tech-savvy individual who enjoys managing machine learning systems and hardware configurations rather than focusing solely on programming, although coding experience would be a strong plus. The ideal candidate is a computer enthusiast with a knack for machine learning infrastructure and model optimization with a passion for working in a collaborative, fast-paced environment.

In Short

• Maintain and manage the software configuration of on-premises machine learning hardware.
• Set up and maintain cloud-based training environments on Google Cloud Platform.
• Automate training workflows to enhance efficiency.
• Develop automated accuracy assessments and generate performance reports.
• Ensure efficient turnaround times for model training.
• Organize and manage model weights and documentation.
• Apply quantization and pruning techniques to models.
• Design and deploy infrastructure for low-latency inference.

Requirements

• Proven experience with Linux server maintenance.
• Proficient in scripting with Bash and Python.
• Hands-on experience with neural network training and data pipelines.
• Familiar with data and model parallelism strategies.
• Knowledgeable in neural network model conversion and optimization.

Benefits

• Work with cutting-edge AI and robotics technologies.
• Dynamic and inclusive company culture.
• Opportunity to reshape the future of retail.
• Comprehensive benefits package.