GenAI & ML Engineer for Enterprise Pipelines

Reply Group

Katowice

Hybrid

PLN 180,000 - 250,000

Full time

14 days+
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Benefits offered by this job

Medical care
Benefits platform
Training opportunities
Language courses platform
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Job summary

A leading technology company in Poland is seeking a Machine Learning Engineer to focus on classical ML and Generative AI solutions. In this role, you will design, train, and optimize ML models and pipelines while ensuring their operational stability. The ideal candidate has a university degree in a relevant field, strong Python skills, and experience with cloud-based environments. This position offers a hybrid work model, allowing periodic office visits alongside extensive training opportunities and a comprehensive benefits platform.

Qualifications

  • Successfully completed university degree in a related field.
  • Practical experience delivering Generative AI solutions.
  • Strong Python engineering skills, including software engineering best standards.
  • Hands-on experience with Git-based code versioning.

Responsibilities

  • Design, train and optimize ML and GenAI models.
  • Build and maintain end-to-end ML and GenAI pipelines.
  • Ensure robustness and performance of solutions in production.
  • Integrate LLM-based solutions into existing system landscapes.

Skills

Python engineering skills
Clean code practices
Fluent communication skills in English
Fluent communication skills in Polish
Experience with Git-based versioning
Hands-on experience with ML platforms

Education

University degree in Computer Science
University degree in Data Science
University degree in Mathematics

Tools

Databricks
AWS
Azure
GCP
CI/CD pipelines

Job description

A leading technology company in Poland is seeking a Machine Learning Engineer to focus on classical ML and Generative AI solutions. In this role, you will design, train, and optimize ML models and pipelines while ensuring their operational stability. The ideal candidate has a university degree in a relevant field, strong Python skills, and experience with cloud-based environments. This position offers a hybrid work model, allowing periodic office visits alongside extensive training opportunities and a comprehensive benefits platform.
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