Define AI system architecture aligned to business objectives and long-term scalability
Translate ambiguous AI opportunities into structured technical approaches
Design modular, extensible AI platforms supporting experimentation and production workloads
Establish architecture decision records (ADRs) and technical documentation standards
Lead design and implementation of ML systems, model services, and inference pipelines
Build scalable training, evaluation, and deployment workflows

🎯 Requirements

5+ years of experience in AI/ML engineering or applied machine learning
Proven experience designing and deploying production AI systems
Strong software engineering background (Python or similar)
Experience with distributed systems and scalable data architectures
Deep understanding of MLOps, model lifecycle management, and AI infrastructure
Experience building and maintaining ML pipelines and automated deployment workflows

Apply on employer's website

This employer gathers applications via their own applicant tracking system.

You will be redirected to an external application form.

Share job

Meet JobCopilot: Your Personal AI Job Hunter

Automatically Apply to Engineering Jobs. Just set your preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.

Activate JobCopilot