Senior Developer, Cloud Analytics
Tasks
- Build and scale reusable AI ML frameworks accelerators and best practices
- Communicate insights and support production readiness
- Design build and maintain secure scalable data pipelines
- Drive MLOps and DevSecOps adoption with CI CD monitoring and lifecycle management
- Evaluate and implement tools technologies and practices to improve engineering efficiency
- Identify and resolve technical risks performance issues and architectural gaps with security and privacy focus
- Provide hands on leadership across model development deployment optimization and troubleshooting
Perks/Benefits
- Additional vacation days
- Comprehensive health and dental coverage
- Defined benefit pension plan
- Flexible work arrangements
- Hybrid telework
Skills/Tech-stack
Apache Spark | Azure | By Design | CI/CD | Data Pipelines | Data Processing | Databricks | DevOps | DevSecOps | Distributed data | Distributed data processing | Jupyter | MLOps | Machine Learning | Model versioning | Monitoring | PyTorch | Python | SQL | Scikit-learn | Secure Configuration | Security by design | TensorFlow | Test-Driven | Test-Driven Development | Version control
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
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