MACHINE LEARNING ENGINEER

Reply Group; Katowice; Hybrid; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Medical care

Benefits platform

Training opportunities

Language courses platform

Company events

Motivizer Benefits Platform (550 PLN/月

Cinema tickets

Shop vouchers

Job summary

A leading tech solutions provider in Katowice is seeking a Machine Learning Engineer to focus on designing and optimizing machine learning models and pipelines. The ideal candidate will have a university degree in Computer Science or a related field and substantial experience in building production-grade ML solutions. Candidates must be fluent in English and Polish. The role offers a hybrid work model with competitive benefits, including training opportunities and a comprehensive benefits platform.

Qualifications

• Solid experience in building production-grade ML pipelines.
• Hands-on experience with CI/CD pipelines as a user.
• Ability to communicate fluently in English and Polish.
• 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 (e.g. Databricks, AWS, Azure or GCP).
• Fluent communication skills in English and Polish and availability to work in a hybrid mode with 1–2 office visits per week.

Responsibilities

• Design, train, and optimize machine learning models.
• Build and maintain end-to-end ML pipelines.
• Ensure performance and robustness 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.

Skills

Python engineering skills

Machine learning pipelines experience

Fluent in English and Polish

Version control using Git

Cloud ML platforms

English and Polish

Education

University degree in Computer Science, Data Science, or Mathematics

Tools

AWS

Azure

GCP

Databricks

Job description

As a Machine Learning Engineer with a focus on classical ML/deep-learning models, you are responsible for the technical design, implementation, and operation of productive ML solutions. You work in a tandem setup with an internal colleague who handles stakeholder management and overall coordination, allowing you to focus fully on modeling, pipelines, and technical execution.

• 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
• MEDICAL CARE
• BENEFITS PLATFORM
• TRAINING OPPORTUNITIES
• LANGUAGE COURSES PLATFORM
• COMPANY EVENTS
• Motivizer Benefits Platform to choose and manage all your benefits in one place. You receive a budget (550 PLN monthly). You can choose medical care package, meal tickets, sports cards (we have Multisport and on preferential terms, we have membership cards to one of the most popular Gyms), cinema tickets, shop vouchers, discounts and many more.
• Language Courses – you'll have access to a multi-language learning platform enabling you to practice your language skills and learn new ones!
• Regular and systematic further training opportunities - both internally and from external providers. We support your ongoing learning and development.
• Cooperation within an internal community is our everyday reality. We have networking events, coding challenges, and company parties for different occasions.

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 (e.g. Databricks, AWS, Azure or GCP)
• Fluent communication skills in English and Polish and availability to work in a hybrid mode with 1–2 office visits per week

Develop yourself and the digital future – at Reply!

Reply is made up of a network of highly specialised companies, which support leading industrial groups in defining and developing business models to optimise and integrate processes, applications and devices, using new technology and communication paradigms, such as Artificial Intelligence; Big Data; Cloud Computing; Digital Communication; Internet of Things; Mobile and Social Networking.

How to become a Replyer

Level 1

Your application

You found an opportunity that suits you and your abilities? Perfect! Use our application form to send us your resume and credentials. Once we received your documents, you will get a confirmation via email.

Level 2

Our reply

We will now review your application and come back to you as soon as possible. If it’s a match, we will contact you for an interview.

Level 3

Your interview

Is it a fit? Do we match your expectations? What about the job requirements and the workplace? All that will be covered in the interview. If more than one Reply company is suitable for you, you have the possibility to participate in several interviews!