MLOps Engineer
Tasks
- Build CI CD pipelines for model delivery
- Deploy ML model endpoints in production
- Detect drift and manage alerts
- Manage experiment tracking and model data versioning
- Monitor model and system health
- Optimize AWS cloud infrastructure costs
- Perform incident response for ML systems
- Write and maintain infrastructure as code
Perks/Benefits
- Coaching support
- Employee Share Savings Plan
- Hybrid working flexibility
- Learning and training programs
- Mentoring
- Paid volunteer day
- Remote options
Skills/Tech-stack
AWS | AWS Bedrock | AWS Lambda | Amazon S3 | Amazon SQS | Amazon SageMaker | CI/CD | Docker | Drift Detection | Experiment tracking | Incident Response | Infrastructure as Code | Machine Learning | Model Deployment | Model versioning | Monitoring | Observability | Python | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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