Berufseinsteiger & Berufserfahrene
Digital Commerce
Ab sofort

Machine Learning Engineer (m/f/d)


Better digital.

The Digital Commerce division is committed to digitalization as a means of creating a networked BAUHAUS of the future. Our focus is always on the customer and we aim to create the perfect digital shopping experience. An agile working environment, innovative solutions and committed employees drive the business - and the best indication of this is the company's success: With over 270 specialist centers in 19 countries and one of the top 50 online stores in Germany, BAUHAUS is one of the most successful players in Europe. And we look forward to being even better with your help!

Your role:

  • As Machine Learning Engineer (m/f/d) you design, build and maintain the ML pipeline and workflows, that automate data collection, analysis, experimentation, model training, model serving and monitoring in production
  • You build, test and maintain the infrastructure and tools to facilitate the consistent and automated AI software solution development and release process
  • You automate model training as well as release workflows, build services around ML inference and model deployment for runtime processing
  • You liaise closely with our Data Engineers (m/f/d) in order to scale model training, build pipelines that help to continuously improve models deployed in production, explore new data sources and model features
  • You implement measures to improve the reliability and performance of the ML infrastructure and continuously strive to improve ML pipeline development as well as operation process
  • By sharing your expert knowledge regarding ML Engineering, architecture and MLOps, you contribute to our overall mission at the DATA Alliance

Your profile:

  • Successfully completed studies in Computer Science or a related field
  • At least two years of relevant work experience as a Data Engineer (m/f/d), Machine Learning Engineer (m/f/d) or in a similar role with strong ML background with experience in building, deploying and maintaining ML models in production
  • Programming skills in Python and ability to write efficient, well-tested code with a keen eye on maintainability
  • In-depth experience with Big Data, SQL and NoSQL databases
  • Experience with ML frameworks, python tools for data science and MLOps tools such as pytorch, TensorFlow, ModelDB, MLFlow and Kubeflow
  • Experience with cloud based data pipelines optimized for ML applications. GCP is a plus
  • You enjoy working in an agile team, like to get involved, think "out of the box" and are keen to tackle new topics

Our offer:

  • The possibility of working 90% remotely, 30 days paid vacation and a good work-life balance
  • A challenging role in a family owned business with an agile working environment, state-of-the-art technologies as well as personal and professional development opportunities
  • Permanent employment contract and attractive remuneration
  • A good work-life balance, the possibility of working remotely and 30 days paid vacation
  • Attractive location in the heart of the Rhine-Neckar metropolitan region with free parking and a company restaurant
  • Unique pension plan with attractive employer contributions
  • Further additional benefits including asset accumulation benefits or special conditions for occupational disability insurance
  • A day care center in close proximity to the company with family-friendly care services
  • Shopping discounts through the BAUHAUS employee card

Welcome to #TeamBAUHAUS.

Click here for your online application!

BAUHAUS is looking forward to receiving your application.