Machine Learning Engineer (B2B)
Responsibilities
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 anddeep-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
Qualifications
Successfullycompleted 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 withCI/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
About OBI Smart Technologies
WHO ARE WE:
We are a joint venture between OBI and Reply Group, responsible for co-designing, building and operating mission-critical digital platforms for commerce, customer service, and omnichannel retail.
OUR MISSION:
"We unite technology leadership with deep retail vision to implement standardized processes and scalable digital products that drive efficient support for one of Europe's largest DIY retailers. Leveraging proven best practices, we advance the internationalization of products and the digital mindset of our partners, delivering consistent and business-critical solutions to support the targets of our customer."