Machine Learning Engineer - Customer Solutions
Core
Build and deliver innovative AI products and Virtual Agents to automate customers' manual processes, ensuring high reliability and performance.
Role type
Senior IC Machine Learning Engineer (Customer Solutions)
Builds
Virtual Agents and self-service tools for customer workflow automation
Domain
Trust & Safety, AI Automation, Customer Solutions
Deliverable
production ML models | product features
Required skills
Python, Machine Learning Engineering, Agentic AI systems, Kubernetes, Problem solving, Project management
Preferred skills
MLOps, CI/CD, SQL, NoSQL, Infrastructure as Code, Large Language Models
Technologies
Python, Kubernetes, GitLab CI, Argo CD, Terraform, SQL, NoSQL
Responsibilities
Collaborate with customers to design and build Virtual Agents; Contribute to the development of the Virtual Agent development platform; Ensure AI services maintain high standards of reliability and performance; Participate in the machine learning community to shape technology implementation; Take ownership of customer outcomes; Contribute full-stack development including DevOps and MLOps.
Seniority
Early-stage startup, hands-on IC with customer-facing responsibilities