Forward Deployed AI Engineer

You will lead technical deployments of models for pharmaceutical and biotech customers. You will build APIs, data pipelines, and model-serving infrastructure; scope requirements and troubleshoot issues with partners; uphold enterprise standards; gather feedback; and create customer-facing technical documentation.

Responsibilities

• Drive end-to-end technical deployments into customer environments
• Design and build production-grade API integrations, data pipelines, and model-serving infrastructure
• Work with pharmaceutical and biotech partners to scope requirements, troubleshoot issues, and deliver solutions
• Ensure deployments meet security, performance, and reliability standards
• Serve as the technical point of contact for assigned customers
• Gather customer feedback and translate it into actionable product insights
• Shape the product roadmap using deployment learnings
• Create technical documentation, integration guides, and best-practice resources
• Stay current with ML infrastructure, model serving, and cloud-native tooling
• Participate in internal knowledge sharing

Requirements

• Computer science or machine learning education
• Software engineering principles
• Modern machine learning frameworks
• Experience designing, deploying, and maintaining large-scale model-serving infrastructure
• Experience building API layers around machine learning models
• Experience deploying AI systems for external customers
• AWS experience
• Containerization with Docker and Kubernetes
• CI/CD pipelines
• Cloud-native architecture
• Technical documentation
• Customer communication

Benefits

• Private health insurance
• Pension contributions
• Generous leave policies, including gender-neutral parental leave
• Hybrid working
• Travel opportunities