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 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
   

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
   

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."

Tech stack

• Python
• Git
• CI/CD
• Machine Learning
• Databricks
• AWS
• Azure
• Google Cloud Platform