Principal Machine Learning Engineer
Tasks
- Architect and lead machine learning lifecycle
- Build automated resilient CI CD and monitoring systems
- Design next generation cloud security solutions
- Drive scalable cloud security architecture
- Establish model versioning reproducibility auditing and compliance best practices
- Evaluate and integrate MLOps tools and frameworks
- Manage and optimize machine learning infrastructure and pipelines
- Provide technical leadership for solution delivery
Perks/Benefits
Skills/Tech-stack
AWS | Apache Flink | Azure | CI/CD | CloudFormation | Continuous Delivery | Continuous integration | Distributed Systems | Docker | GCP | Go | Infrastructure as Code | Java | Kafka | Kubernetes | MLOps | Machine Learning | Monitoring | PyTorch | Python | TensorFlow | Terraform | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
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