Machine Learning Engineer (m/f/d)

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 skills:

• 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

This is what BAUHAUS has to offer:

• 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

Apply now!

Ms. Jonas is looking forward to
receiving your application.