Cloud Machine Learning Engineer (Aws)
Tasks
- Automate predictive model software and training
- Define agile best practices for big data applications
- Design and develop machine learning systems
- Develop machine learning applications
- Enable data flow between machine learning and data systems
- Enhance data pipelines
- Evolve big data platform capabilities
- Productionise data science prototypes
- Research evaluate new technologies
Perks/Benefits
- N/A
Skills/Tech-stack
AWS CloudFormation | AWS CloudTrail | AWS CodeBuild | AWS CodeCommit | AWS CodePipeline | Agile | Amazon EventBridge | Amazon SNS | Amazon SageMaker | Amazon SageMaker Pipelines | Amazon SageMaker Studio | Apache Airflow | Apache Hive | Apache Spark | Artificial Intelligence | Data Architecture | Data Engineering | Data Modeling | Data Pipelines | Data Streaming | Distributed Systems | Docker | H2O | Hadoop | Java | Kanban | Kubernetes | MLOps | Machine Learning | NoSQL | Python | Sagemaker Pipelines | Sagemaker Studio | Scrum | TensorFlow | Yet Another Resource Negotiator
Education
Associate Degree | Bachelor of Engineering | Bachelor of Science
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