GenAI & ML Engineer for Enterprise Pipelines

Reply Group; Katowice; Hybrid; PLN 240,000 - 320,000; Full time

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.

Benefits

Medical care

Benefits platform

Training opportunities

Language courses platform

Company events

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.