Machine Learning Engineer (AI)

TL;DR

Machine Learning Engineer (AI): Designing and maintaining core ML infrastructure and pipelines for an AI-powered customer engagement platform with an accent on enabling AI-powered features at scale. Focus on building robust observability and experimentation frameworks and empowering data science teams to deliver high-quality models efficiently.

Location: Hybrid in Lisbon, Portugal

Company

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

What you will do

• Lead the end-to-end development of ML pipelines, from prototyping to production deployment.
• Design, build, and maintain the core infrastructure powering ML services (e.g., Databricks, AWS, Ray, Kubernetes).
• Develop robust observability and experimentation frameworks for reliable model deployment, monitoring, and iteration.
• Partner with Data Science teams, treating the ML Platform as a product to remove infrastructure 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 backend systems.

Nice to have

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

Culture & Benefits

• Competitive salaries & meaningful equity.
• Private Medical Insurance and Life/Risk Assurance.
• Meal Allowance: 8.55€ per day.
• Paid Annual Leave (22 days) and a Paid Sabbatical.
• Global Lifestyle Reimbursement Account.
• A culture of innovation, collaboration, and inclusion.