ASF124 - MACHINE LEARNING ENGINEER
ASF124 - MACHINE LEARNING ENGINEER
IT
Middle/Senior
Remote
Full-time
Responsibilities
Optimize existing machine learning infrastructure built on a scalable, cost-efficient serverless architecture. Especially focusing on expanding our system's capacity to serve more machine learning models and business logic with ease.
Improve our personalized perfume recommendation system to boost key business metrics like customer engagement, conversion rates, repeat purchases, etc.
Develop scalable data pipelines that systematically aggregate unstructured data like user feedback, ratings, etc., and transform them into structured features to fuel perfume preference research.
Research innovative techniques like graph neural networks to uncover novel ways we can better capture an individual’s olfactory preferences through our quizzes and thus formulate perfumes they find uniquely captivating.
Requirements
At least 2 years of experience building, optimizing, and deploying machine learning systems to production.
Fluency in techniques for feature engineering, machine learning model development, A/B testing frameworks, and infrastructure automation workflows.
Strong analytical skills and demonstrated ability to translate research findings into solutions that deliver clear business impact.
Creativity to explore emerging methods in AI, especially in graph and recommender systems, that could advance how we personalize perfumes.
Good at English.
Technical Skills: A/B Testing; PyTorch; Kubernetes; AWS Services (S3, EC2, Lambda, SageMaker etc.); Google Cloud Platform
Models/Methods: Recommendation Systems; Graph Neural Networks; Tree-based Models; Feature Engineering
Deployment: CI/CD Pipelines; Model Monitoring; Model Drift/Degradation; Serverless Architectures
Other Relevant Terms: Personalization; Optimization; Data Pipeline Care and judgment to responsibly incorporate new intelligence that maintains data ethics and customer satisfaction as top priorities.
Benefits
Working location: Remote Full-time
Salary range: up to USD 2,300 NET
Infomation
Offered Salary
1,500 $ - 2,300 $
Skills