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th business teams to analyze key business problems and develop innovative ML solutions - Design advanced machine learning models that solve real-world problems and validate ML solutions end-to-end - Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready - Monitor and maintain deployed models to ensure they continue delivering value - Connect with other AI/ML teams within Apple and be a trusted advisor for the ML knowledge and experience
Minimum Qualifications
6+ years of experience in applying machine learning technologies to solve real-world business problems
Demonstrated experience in requirement analysis, can transform business problems into ML solutions very well, can communicate with both technical and non-technical stakeholders clearly
Experienced in building, deploying and running Machine Learning applications or services
Demonstrated expertise in machine learning, deep learning, or reinforcement learning
Proficiency in implementing data-intensive pipelines and applications using programming languages such as Python, Java or Golang
Strong written and verbal communication skills
Bachelor or above in Computer Science, Machine Learning, Data Science, Statistics, Operations Research, Mathematics, or a related field
Preferred Qualifications
Practical experience in at least one of the following domains: time series forecasting, anomaly detection, search and recommendation systems, feedback control, interpretable machine learning or computer vision
Hands-on experience working with deep learning toolkits such as Scikit-Learn, AutoGluon, PyTorch or TensorFlow
Strong foundation in data structures, algorithms, and software engineering principles.
Experience with SQL and database systems such as PostgreSQL
Experience with building ETL pipeline in data warehouse such as Snowflake
Experience working on Linux and macOS based platforms
Additional Requirements
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