CLOUD MACHINE LEARNING ENGINEER (AWS)
Core
Design and develop machine learning systems, automate predictive model software, and productionise data science prototypes to make ML models accessible and usable.
Role type
Cloud Machine Learning Engineer (AWS)
Builds
Production ML systems, automated predictive models, and reusable Big Data assets.
Domain
Telecommunications / Cloud Computing / Big Data
Deliverable
production ML models
Required skills
Machine Learning, MLOps, Python, Java, AWS SageMaker, Docker, Kubernetes, Hadoop, Spark, Data Modeling, Distributed Systems
Preferred skills
Advanced degree in CS/Math/Statistics, Cloud certifications, NoSQL databases, Streaming technologies
Technologies
AWS (SageMaker, CloudFormation, CodePipeline), Hadoop, Spark, Hive, Yarn, Airflow, TensorFlow, H2O, Docker, Kubernetes
Responsibilities
Design and develop machine learning systems and implementation patterns; Automate predictive model software including model training; Productionise data science prototypes; Facilitate data flow between ML models and 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 agile development best practices.
Seniority
Mid-Senior (5+ years experience)
