Ml Infrastructure Engineer (Ai Engineering)

TL;DR

Ml Infrastructure Engineer (AI Engineering): Building and maintaining the foundation that powers AI and machine learning capabilities across hirify.global's product portfolio with an accent on systems that support model experimentation, training, deployment, and monitoring at scale. Focus on building robust ML systems in a fast-moving environment and defining the standard for ML Ops.

Location: Vancouver, BC; Boston, MA; Chicago, IL; and Vancouver, WA. Open to hiring fully remote candidates for select positions.

Salary: $145,000 - $165,000

Company

hirify.global is the world’s most intelligent influencer marketing company, built to give brands the confidence to create unforgettable campaigns.

What you will do

• Define and own the long-term ML infrastructure roadmap.
• Design, build, and maintain production-grade model deployment and inference systems using CI/CD pipelines and containerized services.
• Automate end-to-end ML lifecycle workflows.
• Implement robust monitoring systems for model performance, latency, and infrastructure health.
• Partner closely with Data Scientists, Analysts, Platform Engineers, and Product Engineers to support end-to-end ML workflows.

Requirements

• 4+ years of experience in ML Ops, ML infrastructure, backend engineering, or related roles supporting production ML systems.
• Experience working in cloud-native environments (AWS and/or GCP) with hands-on deployment of ML workloads.
• Proven track record designing and implementing CI/CD pipelines for ML systems.
• Strong experience with Amazon SageMaker, Docker, Flask-based APIs, and infrastructure automation tools.
• Experience managing container orchestration platforms (Kubernetes, EKS, or GKE).
• Strong programming experience in Python.

Nice to have

• Experience supporting LLMs or generative AI pipelines.

Culture & Benefits

• Market-based & data-driven approach to compensation.
• Permanent team members are eligible to participate in various benefits plans.
• Committed to fostering a culture rooted in an inclusion-first mindset at every level of the company.
• Committed to creating a diverse environment and are proud to be an equal opportunity employer.