Machine Learning Engineer
hace 3 semanas
We are seeking an experienced Machine Learning Engineer to join our Amazon Tablets Core Machine Learning team. As an early member of the team, you will play a key role in establishing a strong foundation for customer-focused machine learning.
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.
- 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.
- 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.
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 (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
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