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Apple Data Engineer - AI/ML Infrastructure Services United States, Texas, Austin 101996611
31.03.2025
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In this role, you will be responsible for creating and managing data pipelines for AI/ML applications, developing datasets for experiments, and deploying and maintaining machine learning models in various cloud environments. You'll collaborate with cross-functional teams to deliver top-tier data solutions, focusing on optimizing performance and ensuring data quality. The position requires expertise in distributed data systems and open-source frameworks, with knowledge of deep learning platforms like TensorFlow and PyTorch being highly desirable. Additionally, you will work with innovative LLMs to create intelligent chatbot applications. The role demands the ability to handle large-scale data challenges and adapt to evolving requirements, contributing to a long-term vision for innovative AI/ML applications.
- BS in Computer Science, Mathematics, Data Science or equivalent experience.
- 3+ years of industry experience implementing end-to-end Artificial Intelligence and Machine Learning projects
- Strong programming skills and hands-on experience using the following languages or deep learning frameworks: Python, PyTorch.
- Proficiency in exploratory data analysis and data science best practices
- Experience with multivariate data, particularly in time-series analysis
- Required expertise in statistical modeling and experience with deep learning frameworks/libraries
- Understanding of distributed computing principles, data engineering and DevOps standard processes.
- Experience with large language models (LLMs)
- Experience in deploying large-scale streaming data pipelines using Kafka and Spark
- Proficiency in SQL, preferably with Snowflake
- Familiarity with Kubernetes and Docker
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