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Apple Machine Learning Engineer - APAC Singapore 322828888
21.11.2024
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Description
Engage with business teams to find opportunities, understand requirements, and translate those requirements into technical solutionsDesign data science approach, applying tried-and-true techniques or developing custom algorithms as needed by the business problemCollaborate with data engineers and platform architects to implement robust production real-time and batch decisioning solutionsEnsure operational and business metric health by monitoring production decision pointsInvestigate adversarial trends, identify behavior patterns, and respond with agile logic changesCommunicate results of analyses to business partners and executives
Minimum Qualifications
- Education in a quantitative field, such as Computer Science, Applied Mathematics, or Statistics, or equivalent professional experience.
- Ability to implement data science pipelines and applications in a general programming language such as Python, Scala, or Java
- Working knowledge of relational databases, including SQL, and large-scale distributed systems such as Hadoop and Spark
- Practical experience with and theoretical understanding of algorithms for classification, regression, clustering, and anomaly detection
- Ability to comprehend and debug complex systems integrations spanning toolchains and teams
Preferred Qualifications
- Creativity to engineer novel features and signals, and to push beyond current tools and approaches
- Ability to extract meaningful business insights from data and identify the stories behind the patterns
- Excellent presentation skills, distilling complex analysis and concepts into concise business-focused takeaways
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