Machine Learning Engineer (f/m/x)

at  Bonial International GmbH

BONIAL HELPS YOU SAVE TIME, MONEY AND PAPER!

We are a digital advertising partner for offline businesses - we support retailers in their marketing activities and help them find a new audience. Would you like to join and be a part of digitalisation of retail?
We are seeking an experienced Machine Learning (ML) Engineer with expertise in deploying and scaling machine learning models using technologies such as AWS SageMaker, OpenAI, and AWS Bedrock (Claude, Anthropic). In this role, you will design and implement production-ready machine learning systems and develop reusable templates to streamline the creation of ML and data products. A key focus will be ensuring the scalability, reliability, and efficiency of deployed models while reducing the time spent on managing technical infrastructure.
You will collaborate closely with Data Scientists, Data Engineers, and Analysts to address real business challenges more effectively, allowing the team to concentrate on driving business results.

• Developing and managing machine learning models using AWS SageMaker and AWS Bedrock, with models from OpenAI, Claude, and others.
• Creating reusable templates that simplify and accelerate the deployment of ML and data products, minimizing time spent on infrastructure.
• Building scalable ML pipelines using FastAPI for real-time model serving, along with SQS for asynchronous tasks.
• Optimizing machine learning infrastructure for scalability and ensuring systems can meet real-time business needs.
• Integrating feature stores and leveraging AWS Athena for data exploration, ensuring consistency and reliability in data-driven models.
• Containerizing ML applications using Kubernetes and deploying services in scalable, production environments.
• Collaborating with Data Scientists to translate models into production, focusing on business outcomes and impact.
• Leveraging server-less architectures such as AWS Lambda for lightweight processing, ensuring scalability and efficiency.