Cloud Machine Learning Engineer
Tasks
- Automate predictive model training
- Define best practices for agile development and production deployment
- Design and develop machine learning systems and implementation patterns
- Develop machine learning applications for data science requirements
- Enable data flow between machine learning models and data systems
- Enhance data pipelines for machine learning
- Evolve big data platform capabilities with reusable patterns
- Productionise machine learning prototypes
- Research evaluate new technologies for machine learning services
Perks/Benefits
- N/A
Skills/Tech-stack
AWS CloudFormation | AWS CloudTrail | AWS CodeBuild | AWS CodeCommit | AWS CodePipeline | AWS SageMaker | AWS SageMaker Pipelines | Amazon EventBridge | Amazon SNS | Apache Airflow | Apache Spark | Artificial Intelligence | Big Data | Data Architecture | Data Modeling | Data Pipelines | Distributed machine learning | Docker | H2O | Hadoop | Hive | Java | Kubernetes | MLOps | Machine Learning | NoSQL | Python | Sagemaker Pipelines | Sagemaker Studio | Streaming | TensorFlow | YARN
Education
Bachelor of Engineering | Bachelor of Science | High School Diploma
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