Machine Learning Engineer

hace 4 semanas


Madrid, Madrid, España Engineeringuk A tiempo completo
Join Our Team of Passionate Scientists and Engineers

We are seeking an experienced Machine Learning Engineer to join our Amazon Tablets Core Machine Learning team. As a key member of our team, you will play a crucial role in designing and developing scalable AI/ML systems that empower our devices to provide the best experience for our customers.

Key Responsibilities:
  • Design and develop AI/ML products that involve large-scale data processing and modeling.
  • Work with applied scientists, data scientists, engineers, and product managers to design and deliver AI/ML solutions in production at scale.
  • Develop ML workflows and end-to-end pipelines for data preparation, training, deployment, monitoring, etc., and ensure the quality of architecture and design of our ML systems and data infrastructure.
  • Maintain and continuously improve our existing ML workflows, MLOps, and infrastructure.
  • Deliver customer-facing and internal ML solutions that empower our devices to provide the best experience for our customers.
Requirements:
  • Bachelor's degree in computer science or equivalent.
  • Experience (non-internship) in professional software development.
  • Experience in machine learning, data mining, information retrieval, statistics or natural language processing.
  • Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems.
Preferred Qualifications:
  • Master's degree in computer science or equivalent.
  • Experience in building scalable machine-learning infrastructure and big data systems.
  • Experience with machine learning and deep learning techniques in the fields of language models, recommender systems, information retrieval, or similar.
  • Experience with machine learning libraries and deep learning frameworks (TensorFlow, PyTorch, etc.).
  • Experience with Apache Spark and Amazon AWS platform (SageMaker, Redshift, EMR, Glue, Step Functions, Lambda, Batch, etc.).
  • Experience with end-to-end software development and life cycle of machine learning solutions.
  • Excellence in technical communication with scientists and engineers.

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