YOUR PLUS WITH US: An open-minded, friendly team with an open door policy Work with a global leader in premium software for the glass, window, and door industries Modern tech setup, your own laptop, and flexible hybrid work options Competitive compensation and a comprehensive benefits package Subsidized lunch and free beverages Attractive childcare allowance to support your family Private accident insurance and free English and German language courses Employee discounts and exclusive partner perks Fitness & health app with bonus rewards Foosball table (table soccer) for quick breaks and laughs Regular team events and get-togethers YOUR TASKS: You support our national and international customers, ensuring their requests related to our ERP software are handled efficiently and smoothly – from order entry to production and dispatch control By taking full ownership of incoming service requests, you analyze and prioritize them and ensure issues are resolved quickly and effectively via phone, email, or our ticketing system You manage and maintain the team’s ticket queue, including assignment, follow-up and quality assurance With precise documentation of processes and solutions you help to improve our service constantly You turn customer feedback into product innovations by collaborating closely with Product Development, Sales, and Project Planning Beyond daily support, you contribute to implementation projects and lead smaller customer initiatives, such as quality reviews and project walkthroughs YOUR PROFILE: With a degree in business or production management, business informatics, computer science, or a related technical field, you bring a strong academic foundation Your hands-on experience in support for software solutions - whether at a junior or advanced level - enables you to guide customer requests smoothly from issues to solutions You have a solid understanding of technical processes within production environments You are familiar with databases, SQL and report designers Fluency in Polish and English and your collaborative mindset make it easy for you to work effectively across international teams Even under pressure, you stay focused, solution-oriented and keep the customer’s perspective in mind We look forward to your application!
YOUR PLUS WITH US: An open-minded, friendly team with an open door policy Work with a global leader in premium software for the glass, window, and door industries Modern tech setup, your own laptop, and flexible hybrid work options Competitive compensation and a comprehensive benefits package Subsidized lunch and free beverages Attractive childcare allowance to support your family Private accident insurance and free English and German language courses Employee discounts and exclusive partner perks Fitness & health app with bonus rewards Foosball table (table soccer) for quick breaks and laughs Regular team events and get-togethers YOUR TASKS: You support our national and international customers, ensuring their requests related to our ERP software are handled efficiently and smoothly – from order entry to production and dispatch control By taking full ownership of incoming service requests, you analyze and prioritize them and ensure issues are resolved quickly and effectively via phone, email, or our ticketing system You manage and maintain the team’s ticket queue, including assignment, follow-up and quality assurance With precise documentation of processes and solutions you help to improve our service constantly You turn customer feedback into product innovations by collaborating closely with Product Development, Sales, and Project Planning Beyond daily support, you contribute to implementation projects and lead smaller customer initiatives, such as quality reviews and project walkthroughs YOUR PROFILE: With a degree in business or production management, business informatics, computer science, or a related technical field, you bring a strong academic foundation Your hands-on experience in support for software solutions - whether at a junior or advanced level - enables you to guide customer requests smoothly from issues to solutions You have a solid understanding of technical processes within production environments You are familiar with databases, SQL and report designers Fluency in Polish and English and your collaborative mindset make it easy for you to work effectively across international teams Even under pressure, you stay focused, solution-oriented and keep the customer’s perspective in mind We look forward to your application!
Who you are 5+ years of professional experience in Platform Engineering, DevOps, or Site Reliability Engineering (SRE), with a significant focus on cloud infrastructure Fluency in scripting languages (e.g., Python, Go, Bash) for system automation, tooling development, and operational tasks Deep expertise in managing and scaling production workloads within a major public cloud provider (e.g., AWS, Azure, or GCP), including strong familiarity with core services like Compute, Networking, Identity & Access Management (IAM), and Managed Database Proven mastery of Infrastructure-as-Code (IaC) using AWS CloudFormation and/or Terraform in complex, multi-account environments Demonstrated experience designing, implementing, and maintaining robust CI/CD pipelines Solid knowledge of monitoring and logging solutions Excellent communication and documentation skills, with the ability to articulate complex technical issues to technical stakeholders Benefits Hybrid working Sportkurse Freier Zutritt zur code.talks Exklusive Mitarbeiter Rabatte Kostenlose Getränke Sprachkurse Kostenloser Laracasts Account Company Events Relocation Unterstützung Mobilitätszuschlag State-of-the-art Technologien Zentrale Lage Betriebliche Altersvorsorge Weiterbildungs- angebote Hunde erlaubt AY Academy Feedbackkultur Firmenfahrrad YOU ARE THE CORE OF ABOUT YOU.
elasticsearch AWS Python Google BigQuery Google Cloud Platform Numpy Pandas Gitlab What you will do Design and develop innovative algorithms to power a personalized shopping experience, leveraging cutting-edge machine learning techniques Deploy your solutions into production, taking full ownership and ensuring high performance and scalability Combine your data science expertise with a pragmatic, agile approach to find innovative solutions and drive measurable results within a fast-paced environment Challenge the status quo by identifying areas for improvement in existing retrieval and reranking systems, particularly those relying heavily on business logic, and propose data-driven solutions Thrive in a dynamic, fast-paced environment with a flat hierarchy, where your ideas and contributions can make a real difference Who you are Proficiency in Python or experience with at least one scientific computing language (e.g., MATLAB, R, Julia, C++) Strong SQL skills with experience in analytical or transactional database environments Theoretical understanding of machine learning principles, coupled with a hands-on approach to building and iterating on models Proven experience in building and deploying machine learning solutions that deliver tangible business value Strong understanding of data structures, algorithms, and tools for efficiently handling large datasets (e.g. pandas, numpy, dask, arrow, polars, …) Experience designing, building, and managing data pipelines Familiarity with cloud-based model training and serving platforms (e.g., GCP Vertex AI, Amazon SageMaker) Solid understanding of statistical methods for model evaluation Big Data: Experience analyzing large datasets using statistical and machine learning techniques DevOps: Familiarity with CI/CD tools (e.g., GitLab CI/CD, Hashicorp Terraform) is a plus Generative AI: Experience with generative AI and agentic frameworks (e.g., LangChain, ADK, CrewAI, Pydantic AI, …) is a plus Understanding of recommendation, retrieval and reranking systems in e-commerce and retail is a plus Excellent written and verbal communication skills in English Ability to effectively communicate complex machine learning concepts to both technical and non-technical stakeholders Proven ability to collaborate effectively within a team to establish standards and best practices for deploying machine learning models A proactive approach to knowledge sharing and fostering a quick development environment Nice to have Experience with BigQuery Knowledge of time series and (graph) neural network models Familiarity with statistical testing and Gaussian Processes Strong Knowledge of Computer Vision libraries, (e.g. OpenCV, TensorFlow, PyTorch) Experience maintaining Machine Learning pipelines through MLOps frameworks (e.g.