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Senior Machine Learning Engineer
ZendeskSenior ML Engineer responsible for delivering ML-powered product features for Zendesk's AI Copilot. Collaborating with scientists and engineers to enhance customer service with AI technology.
Tech Stack
Tools & technologiesAWSCloudDockerKubernetesPythonRubySQL
About the role
Key responsibilities & impact- Own and deliver ML-powered product features end-to-end
- Work closely with Scientists to productionise research outputs
- Build and maintain ML infrastructure
- Contribute to technical design discussions
- Collaborate with product software engineers
- Improve reliability, performance, and cost-efficiency of ML systems
- Mentor more junior engineers
Requirements
What you’ll need- 5+ years of experience in software engineering with a focus on ML engineering or MLOps
- Fluent in Python; working proficiency in Ruby is a plus
- Solid experience building and operating ML systems in production
- Experience integrating LLMs into production systems
- Comfortable with SQL and data infrastructure
- Experience with containerised deployments (Docker, Kubernetes) and cloud infrastructure (AWS)
Benefits
Comp & perks- Health insurance
- Bonuses
- Flexible working hours
- Professional development opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
ML Systems DevelopmentProductionisation of Research OutputsSQL ProficiencyIntegration of LLMsPerformance Optimization
Soft Skills
MentoringCollaborationTechnical Design Discussion