Machine Learning Engineer - End-to-End Production ML

Zendesk, Inc.

Kraków

Hybrid

PLN 432,000 - 643,000

Full time

3 days ago
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Benefits offered by this job

Hybrid work environment

Job summary

Zendesk, Inc. in Kraków, Poland, seeks a Machine Learning Engineer to design, deploy, and improve ML systems powering our enterprise data platform.

You’ll own end-to-end lifecycle from problem understanding to production deployment and monitoring, collaborating with AI Engineers, Data Engineers, and analytics professionals. You will work with large-scale data, apply NLP and modern ML techniques, and focus on delivering measurable business impact beyond benchmarks.

Qualifications

  • Bachelor’s degree in Computer Science, Mathematics, Statistics, Engineering, or another quantitative discipline.
  • Master’s degree or PhD is a plus, but not required.

Responsibilities

  • Design, build, and deploy machine learning models that power business outcomes.
  • Develop and maintain scalable ML pipelines ingesting data and retraining models.
  • Work with large-scale structured and unstructured data using embeddings and NLP techniques.
  • Monitor production models and iterate based on real-world results.
  • Collaborate with Data Engineers, Product Managers, and stakeholders to deliver ML solutions.
  • Own end-to-end ML solutions from problem definition to deployment and optimization.

Skills

ML Engineering
Python
Production ML
Data collaboration
Model monitoring

Education

Bachelor's in CS/Math/ stats
Master's/PhD a plus

Tools

Snowflake
Airflow
dbt
GitHub Copilot

Job description

Zendesk, Inc. in Kraków, Poland, seeks a Machine Learning Engineer to design, deploy, and improve ML systems powering our enterprise data platform.

You’ll own end-to-end lifecycle from problem understanding to production deployment and monitoring, collaborating with AI Engineers, Data Engineers, and analytics professionals. You will work with large-scale data, apply NLP and modern ML techniques, and focus on delivering measurable business impact beyond benchmarks.

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