ML Platform Engineer (AI)

TL;DR

ML Platform Engineer (AI/MLOps): Designing and maintaining core ML infrastructure and pipelines to integrate intelligence into a customer engagement platform with an accent on scalability and observability. Focus on removing infrastructure bottlenecks for data science teams and operating high-scale backend systems.

Location: Hybrid - Lisbon, Portugal

Company

hirify.global is a leading AI-powered customer engagement platform that helps brands create dynamic, individualized experiences at scale.

What you will do

• Lead end-to-end development of ML pipelines from prototyping and experimentation to production deployment.
• Design, build, and maintain core infrastructure utilizing Databricks, AWS, Ray, and Kubernetes.
• Develop robust observability and experimentation frameworks to ensure reliable model deployment and monitoring.
• Partner with Data Science teams to treat the ML Platform as a product and remove delivery bottlenecks.

Requirements

• 3+ years of experience in backend and/or infrastructure engineering.
• Strong experience with infrastructure-as-code practices (e.g., Pulumi, Terraform, CloudFormation).
• Experience working with service-oriented architectures and integrating ML services into high-scale systems.
• Must be based in or able to work in a hybrid setup in Lisbon, Portugal.

Nice to have

• Hands-on experience building and operating ML pipelines, including recommender systems and deep learning training/serving systems.

Culture & Benefits

• Competitive salaries and meaningful equity.
• Private Medical Insurance and Life/Risk Assurance.
• Meal allowance (8.55€ per day) and Global Lifestyle Reimbursement Account.
• 22 days of paid annual leave and a paid sabbatical.
• Community Days for volunteering and giving back.
• Complete laptop workstation provided.