Machine Learning Engineer

Responsibilities

• Design, train and optimize classical machine learning and deep-learning models for business-relevant use cases.
• Build and maintain end-to-end machine learning pipelines covering data preparation, feature engineering, training, validation, deployment and monitoring.
• Ensure robustness, performance and reproducibility of machine learning solutions in production environments.
• Implement structured and versioned ML workflows supporting reliable model development and operation.
• Collaborate closely with internal machine learning engineers and data teams on technical topics and solution design.

Benefits

• Motivizer Benefits Platform with a monthly budget of 550 PLN to choose and manage benefits, including medical care, meal tickets, sports cards, cinema tickets, shop vouchers, discounts and more.
• Access to a multi-language learning platform for practicing language skills and learning new languages.
• Regular internal and external training opportunities supporting ongoing learning and development.
• Internal community activities, including networking events, coding challenges and company parties.

Qualifications

• Successfully completed university degree in Computer Science, Data Science, Mathematics or a related field.
• Solid experience building and operating production-grade machine learning pipelines.
• Strong Python engineering skills, including clean code practices and software engineering best standards.
• Hands-on experience with Git-based version control and working with CI/CD pipelines as a user.
• Experience with productive ML platforms and cloud-based ML environments, such as Databricks, AWS, Azure or GCP.
• Fluent communication skills in English and Polish.
• Availability to work in a hybrid mode with 1–2 office visits per week.