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Zendesk

Senior Machine Learning Engineer

Zendesk

Senior 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.

Posted 6/29/2026full-timeKrakow • 🇵🇱 PolandSenior💰 PLN 302,000 - PLN 454,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in ML Engineering and MLOps, with a strong focus on building and maintaining ML systems in production. Proficient in Python and experienced in integrating LLMs, while also mentoring junior engineers and collaborating effectively with cross-functional teams.

Highest-signal resume keywords
ML EngineeringMLOpsPython ProgrammingContainerised DeploymentsCloud Infrastructure

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
ML Systems DevelopmentProductionisation of Research OutputsSQL ProficiencyIntegration of LLMsPerformance Optimization
Soft Skills
MentoringCollaborationTechnical Design Discussion
Tools & Technologies
DockerKubernetesAWS

Tech Stack

Tools & technologies
AWSCloudDockerKubernetesPythonRubySQL

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