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.

Benefits

• 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 you 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.

Daily Tasks:

• 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