In this role you will design and implement the next generation of data analytics while building robust pipelines that transform massive datasets into actionable insights. You will create automation and analytics frameworks that help teams across Apple make smarter faster decisions and collaborate with a global team of engineers to deliver scalable architectures and cutting-edge AIML solutions. This innovation-driven environment will inspire you to explore prototype and make real impact.
Strong foundation in machine learning (supervised/unsupervised similarity learning embeddings clustering etc.).
Hands-on experience with Python (preferred) Java or Swift.
Excellent problem-solving analytical and communication skills.
Practical knowledge of deep learning frameworks such as PyTorch TensorFlow or Keras.
Experience with data engineering for data pipelines (Spark Hadoop Hive/Impala or similar).
Familiarity with Ops tools (Kubernetes Docker Airflow) and deploying models at scale.
Strong understanding of SQL and data modeling for analytics.
Experience with vector databases embeddings RAG pipelines or large-scale data processing
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