Machine Learning Engineer, AFT AI, Amazon Fulfillment Technologies

vor 3 Wochen


Berlin, Berlin, Deutschland Amazon TA Vollzeit
About the Role

We are seeking a highly skilled Machine Learning Engineer to join our team at Amazon Fulfillment Technologies. As a key member of our AI team, you will be responsible for designing, developing, and maintaining scalable ML, data, and annotation infrastructure needed for training, evaluating, and deploying models for real-world applications.

Key Responsibilities
  • Design and implement software solutions balancing conflicting requirements of delivery speed, scalability, flexibility, and production readiness.
  • Work closely with Applied Scientists to process massive data, scale machine learning models while optimizing model performance and efficiency.
  • Collaborate with other team members to investigate design approaches, prototype new technologies, and evaluate technical feasibility.
A Day in the Life

You will work on an interdisciplinary team of scientists and engineers with deep expertise in developing cutting-edge AI solutions at scale. You will work on critical MLOps infrastructure for model training, model inference, and data annotation. You will work with product teams to develop solutions for business problems in the Amazon Fulfillment Network.

About the Team

Amazon Fulfillment Technologies (AFT) powers Amazon's global fulfillment network. We invent and deliver software, hardware, and science solutions that orchestrate processes, robots, machines, and people. We harmonize the physical and virtual world so Amazon customers can get what they want, when they want it.

Publicly Available Articles
  • Damage Detection: https://www.amazon.science/latest-news/the-surprisingly-subtle-challenge-of-automating-damage-detection
  • Product ID: https://www.amazon.science/latest-news/how-amazon-robotics-is-working-on-new-ways-to-eliminate-the-need-for-barcodes
Basic Qualifications
  • Experience in professional software development.
  • Experience designing or architecting new and existing systems.
  • Experience programming with at least one software programming language.
  • Practical experience with cloud services (e.g. AWS, Microsoft Azure, Google Cloud).
  • Excellent knowledge of MLOps, DataOps, and relevant fields.
Preferred Qualifications
  • Master's degree in computer science or equivalent.
  • Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
  • Experience in deploying deep learning models in production.
  • Experience with AWS (S3, EC2, CDK, Sagemaker, etc.).
  • Experience with state-of-the-art deep learning and data science frameworks like PyTorch, TensorFlow, Pandas.

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify, and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect, use, and transfer the personal data of our candidates.



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