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Job Description
Mandatory Skill: Enterprise-level ML experience on AWS
Tech Skills:
- AWS Services: In-depth knowledge of AWS services such as EC2, ECS, S3, Lambda, Step function, RDS, DynamoDB, IAM, Encryption, VPC, Route 53, Cloudwatch,
- AWS ML Services: Expertise in AWS ML services like SageMaker, AWS Glue, Amazon EMR, Airflow
- Model Lifecycle: Experience with the end-to-end ML lifecycle, including data preprocessing, feature engineering, model training, evaluation, and deployment
- Scripting: Proficient in automation and Scripting ( Bash , Python ).
- IaC Tools: Hands-on experience with infrastructure as code tools like AWS CloudFormation,
- Version Control: Proficiency with version control systems like GitHub, GitHub Actions
- Monitoring & Observability: Expertise in tools like Grafana, Prometheus
- Engineering Tooling: Artifactory, Synk, Docker
Key Skills
Ranked by relevance
aws
infrastructure as code
artifactory
dynamodb
grafana
python
bash
ecs
s3
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- Posted
- Aug 29, 2025
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Sydney
- Company
- Avance Consulting
Industries
IT Services
IT Consulting
Financial Services
Banking
Categories
Information Technology
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