Deputy Manager
Core
Design and develop machine learning systems, automate predictive model software, and productionise data science prototypes to enable business value from ML/AI.
Role type
Senior IC Cloud ML Engineer (AWS)
Builds
Production ML systems, data pipelines, and Big Data platform capabilities
Domain
Telecommunications / Cloud / Big Data
Deliverable
production ML models
Required skills
Machine learning system design, predictive model automation, MLOps, data pipeline engineering, Big Data architecture, Java, Python, AWS SageMaker Pipelines, AWS SageMaker Studio, AWS CloudFormation, AWS CloudTrail, AWS SNS, AWS EventBridge, AWS CodePipeline, AWS CodeBuild, AWS CodeCommit, Agile project management, distributed ML frameworks (H2O, TensorFlow), containerization (Docker/Kubernetes)
Preferred skills
NoSQL databases, streaming technologies, advanced degree in Computer Science/Math/Statistics
Technologies
AWS (SageMaker, CloudFormation, CloudTrail, SNS, EventBridge, CodePipeline, CodeBuild, CodeCommit), Hadoop, Spark, Hive, Yarn, Airflow, Docker, Kubernetes, H2O, TensorFlow
Responsibilities
Design and develop machine learning systems and implementation patterns; Automate predictive model software including model training; Productionise data science prototypes and develop ML applications; Facilitate data flow between ML/AI models and organizational data systems; Enhance data pipelines for ML optimization; Partner with architecture to evolve Big Data platform capabilities; Research and evaluate new ML technologies; Contribute to best practices for agile development on the Big Data platform
Seniority
Senior, hands-on IC
